176 Big Data jobs in Bahrain
Senior Data Engineer, Big Data Analytics
Posted 24 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 25 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 .
Graduate Trainee - Data Analysis
Posted 1 day ago
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Graduate Trainee - Data Analysis
Posted 5 days ago
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Remote Geologist - Data Analysis
Posted 11 days ago
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Graduate Trainee - Data Analysis
Posted 14 days ago
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Job Description
Key Responsibilities:
- Assist senior analysts in collecting, cleaning, and processing large datasets.
- Perform basic data analysis and generate reports using analytical software.
- Identify trends, patterns, and insights within data to support business objectives.
- Create visualizations and dashboards to present findings effectively.
- Participate in team meetings and contribute to project discussions.
- Learn and apply various data analysis methodologies and tools.
- Assist in developing documentation for data processes and analytical models.
- Support the testing and validation of data solutions.
- Gain exposure to different business functions and understand their data needs.
- Contribute to ad-hoc data analysis requests as needed.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of data analysis concepts and statistical principles.
- Familiarity with programming languages like Python or R is a plus.
- Excellent written and verbal communication skills.
- Ability to work effectively in a team and adapt to a hybrid work environment.
- Eagerness to learn and develop new skills in data analysis.
- Strong attention to detail and accuracy.
This intern position in **Budaiya, Northern, BH** is a stepping stone to a rewarding career in data.
Graduate Apprentice - Data Analysis
Posted 15 days ago
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Job Description
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports and dashboards to visualize key insights.
- Support senior analysts in statistical modeling and hypothesis testing.
- Learn and apply various data analysis tools and techniques, including SQL, Python/R, and BI tools.
- Document methodologies, findings, and results clearly and concisely.
- Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
- Contribute to ad-hoc data analysis requests as needed.
- Continuously learn and develop new skills in data science and analytics.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong understanding of statistical concepts and analytical principles.
- Familiarity with programming languages like Python or R is a significant advantage.
- Basic knowledge of SQL for data extraction and manipulation.
- Proficiency in Microsoft Excel for data analysis.
- Excellent attention to detail and a methodical approach to problem-solving.
- Strong written and verbal communication skills, suitable for a remote work environment.
- Eagerness to learn and a proactive attitude towards skill development.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for data and a desire to build a career in data analysis.
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Graduate Trainee - Data Analysis
Posted 15 days ago
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Key responsibilities include assisting senior analysts in collecting, cleaning, and organizing large datasets from various sources. You will perform basic data analysis, identify trends, and generate reports to support decision-making. This involves using statistical software and tools to explore data patterns and draw meaningful conclusions. You will also contribute to the development of data visualizations, creating charts, graphs, and dashboards to effectively communicate findings to stakeholders. Learning and applying new data analysis methodologies and technologies will be a core part of your training. Collaborating with cross-functional teams to understand their data needs and providing analytical support will also be expected. You will help in documenting data processes and findings, ensuring accuracy and reproducibility. The opportunity to gain exposure to different analytical tools and techniques, such as SQL, Python, R, and BI platforms, will be provided. This role is designed to foster professional growth and provide a solid foundation for a career in data science or analytics.
We are looking for candidates who have recently graduated or are in their final year of study with a strong academic background in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related discipline. A solid understanding of statistical concepts and analytical principles is required. Proficiency in Microsoft Excel is essential. Familiarity with programming languages like Python or R, and database query languages like SQL, is a significant advantage. Excellent problem-solving skills, attention to detail, and a logical approach to tasks are crucial. Strong written and verbal communication skills are necessary for presenting findings and collaborating with team members. A proactive attitude, a willingness to learn, and a genuine interest in data analysis are highly valued. This is a full-time internship position. This role is based in Saar, Northern, BH .
Graduate Trainee - Data Analysis
Posted 15 days ago
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Job Description
Program highlights include:
- Intensive training in data analysis tools and methodologies.
- Hands-on experience with data cleaning, transformation, and preparation.
- Exposure to statistical analysis and modeling techniques.
- Learning to create compelling data visualizations and reports.
- Working on actual business projects to solve real-world problems.
- Mentorship from senior data analysts and team leads.
- Development of essential business acumen and professional skills.
- Opportunities for networking with industry professionals.
- Understanding of data governance and best practices.
- Potential for full-time employment upon successful completion of the program.
Candidates should possess a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong academic record and demonstrated analytical and problem-solving skills are essential. Proficiency in Excel and a basic understanding of programming languages like Python or R are advantageous. Excellent communication skills and a willingness to learn and adapt are paramount. This is an on-site role located in Muharraq, Muharraq, BH , offering a foundational experience for aspiring data professionals.
Graduate Trainee - Data Analysis
Posted 22 days ago
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Job Description
- Assisting senior analysts in data collection, extraction, and manipulation from various sources.
- Performing data cleaning and pre-processing to ensure data quality and integrity.
- Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Developing and generating reports and visualizations using tools like Excel, Tableau, or Power BI.
- Supporting the development of dashboards and performance metrics.
- Learning and applying statistical methods and basic modeling techniques.
- Collaborating with different departments to understand their data needs and provide analytical support.
- Participating in training sessions and workshops to enhance technical and soft skills.
- Contributing to ad-hoc data analysis projects as required.
- Shadowing experienced data analysts and learning best practices in data management and analysis.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, etc.).
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is advantageous but not mandatory.
- Excellent communication and teamwork skills.
- A strong desire to learn and develop a career in data analysis.
- Must be legally eligible to work in **Jidhafs, Capital, BH**.
This is a full-time, on-site internship program in **Jidhafs, Capital, BH**, offering a competitive hourly wage and valuable industry experience. Upon successful completion of the program, there may be opportunities for full-time employment.