5 Etl Processes jobs in Bahrain

Job Description

VAM Systems is currently looking for Finance Data Engineering Analyst for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications :

• Bachelor s Degree
• Engineer (B.E.)/ MCA
• Certification in SQL/SAS

Experience : 5-8 years

Key Objectives

• Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.

Analytical/Technical Skills :

• Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
• Hands-on experience on MS Excel
• Prior project management/stakeholder management is desired

Responsibilities

• Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
• Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
• Mastering the Intersection of Finance, Data Analysis and Data Engineering.
• Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
• Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
• Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
• Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
• Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
• SAS skillset, with Strong Experience in 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

Job Description

VAM Systems is currently looking for Finance Data Engineering Analyst for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications :

• Bachelor's Degree
• Engineer (B.E.)/ MCA
• Certification in SQL/SAS

Experience : 5-8 years

Key Objectives

• Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.

Analytical/Technical Skills:

• Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
• Hands-on experience on MS Excel
• Prior project management/stakeholder management is desired

Responsibilities

• Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
• Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
• Mastering the Intersection of Finance, Data Analysis and Data Engineering.
• Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
• Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
• Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
• Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
• Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
• SAS skillset, with Strong Experience in 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

Terms and conditions

Joining time frame: days)

Job Description
We are
currently looking for
Finance Data Engineering Analyst
for our
Bahrain
operations with the following skillsets & terms and conditions:

Qualifications :

• Bachelor's Degree
• Engineer (B.E.)/ MCA
• Certification in SQL/SAS

Experience : 5-8 years
Key Objectives

• Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.

Analytical/Technical Skills
:

• Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
• Hands-on experience on MS Excel
• Prior project management/stakeholder management is desired

Responsibilities

• Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
• Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
• Mastering the Intersection of Finance, Data Analysis and Data Engineering.
• Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
• Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
• Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
• Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
• Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
• SAS skillset, with Strong Experience in 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

Terms and conditions
Joining time frame: days)

• Design, develop, and implement efficient and scalable data warehouse solutions using cloud platforms (e.g., Snowflake, Redshift, BigQuery).
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
• Optimize database performance and ensure data integrity, accuracy, and availability.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Develop and enforce data governance policies and standards.
• Implement data modeling techniques (e.g., Kimball, Inmon) to support analytical needs.
• Monitor data warehouse systems, troubleshoot issues, and implement solutions for performance enhancement.
• Stay current with emerging technologies in data engineering, cloud computing, and big data.
• Write and optimize SQL queries and scripts for data manipulation and analysis.
• Mentor junior data engineers and contribute to team knowledge sharing.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Master's degree is a plus.
• 5+ years of hands-on experience in data engineering, with a strong focus on data warehousing.
• Proficiency in SQL and experience with at least one major cloud data warehouse platform (Snowflake, Redshift, BigQuery).
• Strong experience with ETL/ELT tools and frameworks (e.g., Talend, Informatica, Apache Airflow, dbt).
• Proficiency in at least one programming language (e.g., Python, Java, Scala).
• Solid understanding of data modeling concepts and database design principles.
• Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.