What Jobs are available for Developing Data Pipelines in Bahrain?

Job Description
VAM Systems
is currently looking for
Data Engineer
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)

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.

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

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

Qualifications :
BE Computer Science and Engineering

Years of Experience :
4 - 6 years

Professional Training Required :
SQL Development, SAS EG, SAS DI

Certifications Required:
Database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required)

Skills

• 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
• Knowledge in 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 and Microsoft SQL Server
• Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting
• Regulatory Compliance
• Financial Reporting
• ETL/ETT/ETM Tools and Process
• Risk Management
• Data Warehouses
• Data Marts
• Balance Sheet, Profit & Loss, Market Risk
• Data Modelling

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 Job Responsibility 6 Research and resolve discrepancies in financial data ,Manage the month-end close process.

Terms and conditions
Joining time frame: days)

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and manage robust data warehousing solutions.
• Ensure data quality, integrity, and reliability across all data systems.
• Lead and mentor a team of data engineers.
• Collaborate with data scientists and analysts to provide data support.
• Optimize data infrastructure for performance and cost-efficiency.
• Implement data governance and security best practices.
• Select and implement appropriate big data technologies.
• Automate data processes and improve operational efficiency.
• Contribute to the overall data strategy and roadmap.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Minimum 7 years of experience in data engineering or a related role.
• Proven experience in designing and implementing data warehousing solutions.
• Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, Snowflake, Redshift).
• Hands-on experience with big data technologies (e.g., Spark, Hadoop).
• Strong programming skills in Python, Scala, or Java.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Familiarity with data orchestration tools (e.g., Airflow, Prefect).
• Excellent leadership, communication, and problem-solving skills.
• Experience with data modeling and schema design.

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and manage data warehouses, data lakes, and other data storage solutions.
• Optimize data retrieval and processing performance.
• Implement data quality frameworks and monitoring solutions.
• Collaborate with data scientists and analysts to provide them with reliable data.
• Write complex SQL queries and Python scripts for data manipulation and analysis.
• Ensure data security and compliance with relevant regulations.
• Evaluate and integrate new data technologies and tools.
• Document data architecture, pipelines, and processes.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a related role.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Strong knowledge of cloud data services (AWS S3, Redshift, Glue; Azure Data Lake, SQL Data Warehouse; GCP BigQuery, Dataflow).
• Experience with data warehousing concepts and methodologies.
• Familiarity with data modeling and database design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities for remote work.

• Design, develop, and optimize robust and scalable data pipelines for data ingestion, transformation, and processing.
• Build and maintain data warehouses, data lakes, and other data storage solutions.
• Develop and implement ETL/ELT processes to integrate data from various sources.
• Ensure data quality, integrity, and reliability across all data systems.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Monitor data pipeline performance and troubleshoot issues proactively.
• Implement data governance policies and ensure compliance with data privacy regulations.
• Explore and evaluate new data technologies and methodologies to improve data infrastructure.
• Optimize database performance and query efficiency.
• Create and maintain technical documentation for data pipelines and infrastructure.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of professional experience in data engineering or a related role.
• Proven expertise in designing and implementing ETL/ELT pipelines using tools like Apache Spark, Flink, or similar.
• Strong proficiency in SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases).
• Experience with cloud data platforms such as AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
• Familiarity with data modeling concepts and data warehousing principles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Understanding of big data technologies like Hadoop, Hive, or Kafka.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences.

• Design, construct, install, and maintain highly scalable data management systems and robust ETL/ELT pipelines.
• Develop and optimize data processing frameworks to ensure efficiency and performance.
• Integrate new data management tools and technologies into the existing data architecture.
• Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Monitor data system performance and troubleshoot issues proactively.
• Automate data processes and workflows for maximum efficiency.
• Implement and maintain data governance policies and procedures.
• Provide technical guidance and mentorship to junior data engineers.
• Stay current with emerging trends and technologies in data engineering and big data.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 5 years of experience in data engineering, database development, or data warehousing.
• Proven experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery, Snowflake).
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Proficiency in designing and implementing ETL/ELT processes and tools (e.g., Airflow, Talend, Informatica).
• Excellent problem-solving and analytical skills.
• Strong understanding of data modeling, data warehousing concepts, and data architecture principles.
• Exceptional communication and collaboration skills, adept at working in a fully remote environment.