303 Big Data jobs in Bahrain
Senior Data Engineer, Big Data Analytics
Posted 3 days ago
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Job Description
Responsibilities:
- Design, develop, and implement scalable and robust data pipelines for ETL/ELT processes.
- Build and optimize data warehouses, data lakes, and other big data storage solutions.
- Integrate data from various sources, ensuring data quality, consistency, and accessibility.
- Collaborate with data scientists and analysts to provide them with the data needed for analysis and model building.
- Implement and manage big data technologies such as Hadoop, Spark, Kafka, and distributed databases.
- Optimize data processing jobs for performance and cost-efficiency.
- Ensure data security, privacy, and compliance with relevant regulations.
- Develop and maintain data governance policies and procedures.
- Troubleshoot and resolve data-related issues, ensuring data availability and reliability.
- Mentor junior data engineers and contribute to the team's technical growth.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 6 years of experience in data engineering, with a strong focus on big data technologies.
- Proficiency in programming languages like Python, Scala, or Java.
- Extensive experience with distributed data processing frameworks (e.g., Apache Spark, Hadoop ecosystem).
- Hands-on experience with cloud platforms such as AWS (S3, EMR, Redshift), Azure (Data Lake, Databricks), or GCP (BigQuery, Dataflow).
- Strong knowledge of SQL and NoSQL databases.
- Experience with data warehousing concepts and dimensional modeling.
- Familiarity with data visualization tools is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a team-oriented, in-office environment.
This challenging role is located in Jidhafs, Capital, BH , and requires dedicated on-site presence to foster close collaboration within the IT department.
Junior Data Scientist - Big Data Analytics
Posted 4 days ago
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Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to understand data characteristics and identify trends.
- Support the development and implementation of statistical models and machine learning algorithms.
- Help in evaluating model performance and identifying areas for improvement.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior data scientists and engineers on ongoing projects.
- Learn and apply new data science techniques and tools.
- Assist in the documentation of data sets, methodologies, and results.
- Participate in team meetings and contribute to problem-solving discussions.
- Gain practical experience in big data technologies and cloud platforms.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Exposure to data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and develop skills in data science.
- Good communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote environment.
- This internship is fully remote and open to individuals globally, though the operational oversight is linked to our presence in Sanad, Capital, BH .
Senior Data Scientist - Big Data Analytics
Posted 4 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated machine learning models and statistical algorithms to solve business problems.
- Analyze and interpret large, complex datasets from various sources to identify trends, patterns, and insights.
- Develop predictive models and forecasting solutions to support strategic decision-making.
- Utilize big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) for data processing and analysis.
- Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
- Create compelling data visualizations and reports to communicate findings to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to the advancement of data science best practices within the organization.
- Evaluate and implement new data science tools and methodologies.
- Ensure data quality, integrity, and privacy in all analytical processes.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
Qualifications:
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field.
- Minimum of 7 years of experience as a Data Scientist, with a strong focus on big data analytics.
- Proven experience with programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
- Extensive experience with big data technologies (e.g., Spark, Hadoop, Hive) and SQL.
- Familiarity with cloud computing environments (AWS, Azure, GCP) and their data services.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent data visualization and communication skills.
- Ability to work independently and manage complex projects in a remote setting.
- Experience with A/B testing and experimental design is a plus.
- Strong problem-solving abilities and a business-oriented mindset.
This role is a fully remote position, with a conceptual grounding in **Shakhura, Northern, BH**. Join our client and shape the future through data-driven insights.
Remote Junior Data Scientist - Big Data Analytics
Posted 4 days ago
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Job Description
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic statistical models and machine learning algorithms under supervision.
- Contribute to the creation of data visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data mining techniques and big data technologies (e.g., Spark, Hadoop ecosystem).
- Participate in team meetings and discussions, actively contributing ideas and asking questions.
- Document methodologies, findings, and code for reproducibility.
- Assist in the testing and validation of data models and pipelines.
- Gain exposure to different analytical tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
- Understand and contribute to the ethical considerations of data usage and analysis.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, particularly Python or R.
- Basic knowledge of data manipulation and analysis libraries (e.g., Pandas, NumPy, dplyr).
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills, crucial for remote collaboration.
- Ability to work independently and manage tasks effectively in a remote setting.
- A keen interest in data analysis and its application in solving real-world problems.
- Previous exposure to SQL and database concepts is a plus.
Data Analytics Apprentice
Posted 4 days ago
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Job Description
Data Analytics Lead Instructor
Posted 3 days ago
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Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
This immersive course teaches students to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI, and Python as the primary tools for analysis. We are looking for an instructor to lead this In-Campus (based in Bahrain) Analytics course. This role is a full-time, temporary position that includes a start and end date for this cohort.
This role is to be performed on-site, in-campus in Bahrain .
SKILLS AND QUALIFICATIONS- You have strong experience using the following tools: Excel, SQL, Tableau, Power BI, and Python.
- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have at least 5 years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
- Experience working in-campus, in-person mentoring or in-person training, etc.
- Backgrounds in adult learning, pedagogy, and curriculum development
- Background in workshop facilitation and professional development
- Completion of a bachelor’s degree or at least 10 years of applicable experience in lieu of a 4-year degree
- At least 2 years of practical experience within the last five years; 3 years preferred.
- Practical experience does not include teaching experience.
- Good moral character and strong decision-making abilities
- Language, mathematical, reasoning, and computer skills that assure teaching effectiveness.
- Teach and facilitate in-class instruction based on the schedule proposed in the interview (full-time: Sunday through Thursday 9 AM to 5 PM; different scheduling for part-time)
- Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.
- Collaborate alongside GA staff in order to best meet the needs and learning styles of your students.
- Guide students through the development of real-world projects that will showcase their abilities to hiring managers.
- Facilitate a dynamic and collaborative classroom community.
- Inspire students to persevere through the challenges of learning complex subjects.
- Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide.
General Assembly will cover all travel-related expenses for qualified candidates.
#J-18808-LjbffrSENIOR ANALYST - DATA ANALYTICS
Posted 25 days ago
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Job Description
Company
Gulf Air Group
Division
Information Technology
Location
Department
Information Technology
Closing Date
10-Jun-2025
JOB PURPOSEThe Senior Analyst - Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data-driven decision-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision-making.
By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organization’s analytical capabilities, improve data-driven strategies, and help achieve strategic objectives.
KEY ACCOUNTABILITIESConduct data analysis to identify trends, patterns, and correlations.
Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs).
Collaborate with stakeholders to understand business requirements and translate them into data analytics projects.
Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions.
Prepare and present reports, visualizations, and recommendations to stakeholders.
Assist in data quality assurance activities, including data cleansing and validation.
Support the implementation and maintenance of data analytics tools and platforms.
Stay up to date with industry trends and emerging technologies in data analytics to recommend innovative solutions.
Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making.
Adhere to data security, privacy, and compliance policies and regulations.
Technical Responsibilities:
Proficiency in data analysis tools and software such as Power BI, SQL, Python, R, and Tableau.
Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts.
Familiarity with data manipulation and transformation techniques.
Understanding of basic machine learning algorithms and their application in data analytics.
Ability to work with large datasets and perform data cleansing and manipulation.
EDUCATION & EXPERIENCEBachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.
Proven experience of at least 2 years in data analytics or a related field
Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.
Proficient in data analysis tools and programming languages.
Excellent communication and presentation skills.
About Application ProcessIf you meet the criteria and you are enthusiastic about the role, we would welcome yourapplication.Tocomplete the application you would need the following document(s):
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Data Analytics Instructor - PT
Posted 25 days ago
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Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
What do we teach?
- In this 24week (part-time) Data Analytics Bootcamp, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI, Python as the tools for analysis.
SKILLS AND QUALIFICATIONS
- You have strong experience using the following tools: Excel, SQL, Tableau, POWER BI and Python Programming.
- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have at least 3 years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data based insights.
ESSENTIAL RESPONSIBILITIES AND DUTIES
- Teach Sunday to Wednesday, 6pm to 9pm for the duration of the 24-week course, in-person on campus in Bahrain.
- Instructors will need to commit a few hours per day preparing lessons and materials, leveraging existing GA curriculum content.
- Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
- Guide students through development of a stellar final project that will showcase their abilities to hiring managers.
- Facilitate a dynamic and collaborative classroom community.
- Inspire students to persevere through the challenges of learning a new suite of skills.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.
Posting date:
#J-18808-LjbffrData Analytics Lead Instructor
Posted today
Job Viewed
Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Data Analytics Lead Instructor
In this immersive course, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI and Python as the primary tools for analysis. We are looking for an instructor to lead this In-Campus (based in Bahrain) Analytics course. This role is a full-time, temporary position that includes a start and end date for this cohort. There may be potential to receive an additional assignment offering, but additional assignments are not guaranteed.
This role is to be performed on-site, in-campus in Bahrain .
SKILLS AND QUALIFICATIONS
- You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python.
- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have at least 5 years of work experience in a role where you've been responsible for cleaning messy data, analyzing the data and presenting your data based insights.
Preferred
- Experience working in-campus, in-person mentoring or in-person training etc.
- Backgrounds in adult learning, pedagogy and curriculum development
- Background in workshop facilitation and professional development
- Completion of a bachelor's degree or at least 10 years of applicable experience in lieu of a 4-year degree
- At least 2 years of practical experience within the last five years; 3 years preferred.
- Practical experience does not include teaching experience.
- Good moral character and strong decision making abilities
- Language, mathematical, reasoning, and computer skills that assure teaching effectiveness.
RESPONSIBILITIES AND DUTIES
- Teach and facilitate in class instruction based on the schedule proposed in the interview (full-time: Sunday through Thursday 9 AM to 5 PM; different scheduling for part-time)
- Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.
- Collaborate alongside GA staff in order to best meet the needs and learning styles of your students.
- Guide students through the development of real world projects that will showcase their abilities to hiring managers.
- Facilitate a dynamic and collaborative classroom community.
- Inspire students to persevere through the challenges of learning complex subjects.
- Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide.
General Assembly will cover all travel-related expenses for qualified candidates.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.
Graduate Trainee - Data Analytics
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform data exploration and visualization to identify trends and patterns.
- Support the development of reports and dashboards to communicate findings.
- Learn and apply various data analysis techniques and statistical methods.
- Collaborate with team members on ongoing data projects.
- Contribute to the documentation of data processes and methodologies.
- Assist in identifying opportunities for data-driven improvements.
- Participate in training sessions and workshops to enhance technical skills.
- Gain exposure to data warehousing concepts and database management.
- Provide support for ad-hoc data analysis requests.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language relevant to data analysis (e.g., Python, R).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent attention to detail and ability to work with large datasets.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Demonstrated interest in data analytics and its business applications.