31 Spark jobs in Bahrain

• 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.

• 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 .

• 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.

• 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.

• 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.

Overview

We are pleased to announce an opening for a Data Engineer with strong expertise in the banking domain . This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.

• Recent banking domain experience
• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company’s goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Job Title: Data Engineer

Professional Training: SQL Development, SAS EG, SAS DI, Object-oriented Programming (e.g., C#, Java)

Experience: At least 3 years in relevant roles

We are seeking a Data Engineer with expertise in:

• Developing within databases, specifically Microsoft SQL Server and/or Oracle
• Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio
• SAS Information Maps, SAS BI, SAS Stored Processes, SAS Datasets & Libraries
• Configuring and installing applications on servers (Windows/Linux/Unix), with basic knowledge of DNS, Ports, and Firewalls
• Managing distributed systems and clusters for batch and streaming data (Hadoop/Spark, Kafka/Flink)
• Handling semi-structured data formats such as JSON and XML
• Programming in C# or Java
• Writing advanced SQL queries, stored procedures, and functions
• Experience with ETL tools like SAS DI, SAS Enterprise Guide, and Microsoft SQL Server
• Understanding of financial reporting (Balance Sheet, Profit and Loss) and risk reporting

• Consolidate and analyze financial data, including budgets, forecasts, and statements
• Build stored procedures and ETL jobs for data reconciliation
• Contribute to data warehouse design and database solutions
• Develop SQL Server T-SQL procedures/functions for batch processing and reporting
• Create SAS EG and SAS DI jobs
• Research and resolve financial data discrepancies, manage month-end closing processes
• Solve complex problems, perform testing and troubleshooting

• Regulatory compliance
• ETL/ETT/ETM tools and processes
• Data warehouses and marts
• Financial data modeling and analysis

Technology Tools: SAS, SAS BI, MS SQL Server, T-SQL

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We are pleased to announce an opening for a
Data Engineer
with strong expertise in the
banking domain
. This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.

Requirements and responsibilities:

• Recent banking domain experience
• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Overview

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior Data Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. Weu2019re on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and youu2019re motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

• Utilise advanced data analytics to grow Canonical's product adoption and market penetration
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
• Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
• Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

• Background in data science, mathematics, actuarial science, or engineering
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
• Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
• Ability to translate business questions to key research objectives
• Ability to identify the best methodology to execute research, synthesise and analyse findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilient in the face of challenges

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

• Fully remote working environment - weu2019ve been working remotely since 2004
• Personal learning and development budget of 2,000 USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at sprints
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Job Description

VAM Systems is currently looking for Data Engineer - SAS for our Bahrain operations with the following skillsets and terms & conditions:

Qualification

• BE Computer Science and Engineering

Professional Training

• SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)

Experience Required:

Experience in the following tools (3+ years)

• SAS Management Console
• SAS DI, SAS Enterprise Guide
• Base SAS
• SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, - SAS Information Maps, SAS BI
• SAS Stored Process, SAS Datasets & Library
• Experience to configure/install applications in the servers(windows/Linux/Unix) and

basic knowledge of DNS, Ports, and Firewalls (3+ years)

• Experience managing and further developing distributed systems and

clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)

• Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
• Experience in C# or Java (3+ years)
• Banking and Finance, Financial accounting and Reporting Environment
• Expertise in writing advanced SQL Query, Stored Procedures and functions
• ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide andMicrosoft SQL Server.
• Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting.
• Developing within database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required).

Responsibility

• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Skills

• Solving Complex Problems
• Testing and Troubleshooting
• Regulatory Compliance
• Financial Reporting
• ETL/ETT/ETM Tools and Process
• Risk Management
• Data Warehouses
• Data Marts
• Balance Sheet,Profit & Loss,Market Risk
• Data Modeling
• SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch

Domain : Bank

Years of Experience 5 + years