Senior DataStage ETL

Responsibilities

• Design, develop and maintain robust ETL pipelines using MS Azure Data Factory, MS Azure Databricks and other Azure services.
• Build and manage data integration interfaces between internal systems and external platforms such as Coupa and SAP.
• Collaborate with data architects, analysts and business stakeholders to understand data requirements and deliver scalable solutions.
• Optimize data workflows for performance, reliability and cost‑efficiency.
• Implement data quality checks, error handling and logging mechanisms.
• Participate in code reviews, architecture discussions, unit testing and performance tuning.
• Ensure compliance with data governance, security and privacy standards.
• Mentor junior developers and contribute to best practices in data engineering.

• Bachelors or Masters degree in Computer Science, Information Systems or related field.
• 5 years of experience in ETL/ELT development with at least 2 years focused on Azure Data Factory.
• Strong proficiency in SQL, Postgres and data transformation logic.
• Experience with Azure Blob Storage, Azure Functions and Databricks.
• Hands‐on experience integrating with Coupa and SAP platforms.
• Familiarity with CI/CD pipelines and version control tools (e.g. Git, Azure Dev Ops).
• Experience with Unix/Linux shell scripting for automation and process orchestration.
• Expertise in data extraction, transformation and loading from / to various data sources (relational databases, flat files, XML, JSON, etc.).
• Solid understanding of data warehousing concepts, dimensional modeling and big data processing.
• Excellent problem‑solving, communication and documentation skills.
• Experience with IBM Data Stage development.
• Experience with Power BI, Snowflake or Apache Spark.
• Knowledge of data lake architecture, data mesh or data fabric concepts.
• Microsoft Azure certifications (e.g. DP-203: Data Engineering on Microsoft Azure).
• Experience with REST/SOAP APIs and middleware platforms for enterprise integration.

SQL, Pentaho, PL/SQL, Microsoft SQL Server, SSIS, Informatica, Shell Scripting, T‑SQL, Teradata, Data Modeling, Data Warehouse, Oracle

Employment Type:

Full Time

Experience:

years

Vacancy: 1