6 Data Systems jobs in Bahrain

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development of data models and algorithms for predictive analysis.
• Create insightful data visualizations and dashboards using tools like Tableau or Power BI.
• Collaborate with senior analysts to interpret data and generate actionable insights.
• Assist in preparing reports and presentations on data findings for stakeholders.
• Learn and apply statistical methods and machine learning techniques.
• Participate in team meetings and contribute to project discussions.
• Document data processes, methodologies, and findings.
• Develop skills in programming languages such as Python or R for data analysis.
• Support the maintenance and improvement of data infrastructure.
• Engage in continuous learning and professional development within the data analytics field.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
• Proficiency in Microsoft Excel.
• Eagerness to learn and a proactive approach to acquiring new skills.
• Good communication and teamwork abilities.
• Attention to detail and a commitment to data accuracy.
• Ability to work independently and manage time effectively.

• Immersive training in data analysis tools and methodologies (e.g., SQL, Python, R, Tableau).
• Practical experience working on real-world business projects.
• Exposure to business intelligence, data visualization, and statistical modeling.
• Mentorship from experienced data analysts and business leaders.
• Development of critical thinking, problem-solving, and communication skills.
• Opportunity to contribute to meaningful business insights and strategies.
• Structured learning path with clear milestones and feedback.
• Potential for full-time employment upon successful completion of the program.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in or strong willingness to learn programming languages such as Python or R.
• Familiarity with database concepts and SQL is a plus.
• Excellent problem-solving abilities and attention to detail.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work collaboratively in a team environment.
• Proactive attitude and a strong work ethic.
• Eligibility to work in Bahrain.

Job Title : Data Management Senior Specialist

Work Mode : On-Site

Employment Type : Full-Time

Job Brief

One of our esteemed clients is seeking a Data Management Senior Specialist to oversee and maintain data management technologies that support operations and data quality. This role ensures seamless data integration, master data management, and data warehouse environments while maintaining agreed service levels.

Responsibilities

Administration Activities :

• Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
• Oversee data management application upgrades, infrastructure changes, and data migrations.
• Plan and execute installation, configuration, deployment, and integration activities.
• Maintain, patch, and upgrade data management applications.
• Monitor and ensure optimal performance of data management applications.
• Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
• Build and maintain strong relationships with business teams and IT service providers.
• Document application functionalities, processes, and maintenance procedures.

ETL & Data Integration :

• Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
• Support and maintain data integration pipelines for periodic and real-time data loads.
• Optimize data processing performance to support near real-time operations.
• Gather business requirements and implement data validation rules.
• Assist data warehouse end-users in understanding and querying data.
• Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
• Implement data quality rules for standardization and cleansing.
• Generate data quality reports and support testing processes.

Qualifications

• Bachelor?s degree in Computer Science or related field.
• 7+ years of experience in data management and information systems.
• Strong knowledge of E&P processes, data management, and SQL Server 2019.
• Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
• Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
• Strong problem-solving and organizational skills.

Why Join Us?

• Work with cutting-edge data management technologies.
• Be part of a highly skilled and collaborative team.
• Opportunity to drive data-driven decision-making.
• Competitive salary, growth opportunities, and a great work environment.

If you?re passionate about data management and technology, we?d love to hear from you!

Application Instructions

If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.

Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!

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Job Title : Data Management Senior Specialist

Work Mode : On-Site

Employment Type : Full-Time

Job Brief

One of our esteemed clients is seeking a Data Management Senior Specialist to oversee and maintain data management technologies that support operations and data quality. This role ensures seamless data integration, master data management, and data warehouse environments while maintaining agreed service levels.

Responsibilities

Administration Activities :

• Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
• Oversee data management application upgrades, infrastructure changes, and data migrations.
• Plan and execute installation, configuration, deployment, and integration activities.
• Maintain, patch, and upgrade data management applications.
• Monitor and ensure optimal performance of data management applications.
• Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
• Build and maintain strong relationships with business teams and IT service providers.
• Document application functionalities, processes, and maintenance procedures.

ETL & Data Integration :

• Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
• Support and maintain data integration pipelines for periodic and real-time data loads.
• Optimize data processing performance to support near real-time operations.
• Gather business requirements and implement data validation rules.
• Assist data warehouse end-users in understanding and querying data.
• Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
• Implement data quality rules for standardization and cleansing.
• Generate data quality reports and support testing processes.

Qualifications

• Bachelor?s degree in Computer Science or related field.
• 7+ years of experience in data management and information systems.
• Strong knowledge of E&P processes, data management, and SQL Server 2019.
• Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
• Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
• Strong problem-solving and organizational skills.

Why Join Us?

• Work with cutting-edge data management technologies.
• Be part of a highly skilled and collaborative team.
• Opportunity to drive data-driven decision-making.
• Competitive salary, growth opportunities, and a great work environment.

If you?re passionate about data management and technology, we?d love to hear from you!

Application Instructions

If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.

Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Professional Training and Coaching

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