ETL Developer

For one of our clients we're looking fro an experienced ETL Developer to design, build and maintain resilient data ingestion pipelines and ETL processes that power enterprise analytics.

Key Responsibilities

• Design and implement ETL/data ingestion pipelines using SSIS, Informatica BDM or native tooling to meet functional and non‑functional requirements.
• Create and manage data workflows in orchestration tools (e.g., Control‑M); automate jobs and ensure scalable scheduling.
• Ensure data quality, integrity and consistency across systems to enable trusted reporting and analytics.
• Develop and optimize complex T‑SQL and PL/SQL queries, stored procedures and transformation scripts.
• Monitor pipeline and database performance; recommend configuration or infrastructure changes to improve efficiency and reliability.
• Troubleshoot and resolve high‑impact data issues via root‑cause analysis of business and system processes.
• Design logical and physical data models supporting enterprise data architecture.
• Establish and enforce coding, testing, debugging and deployment standards for ETL solutions.
• Collaborate with business and technical stakeholders to gather data requirements and translate them into ETL designs.
• Support and mentor ETL/BI developers; advise on efficient data extraction for reporting and analytics.

Requirements

• 8–10 years’ experience in ETL development/data engineering with hands‑on SSIS and Informatica BDM.
• Strong expertise in T‑SQL and PL/SQL; proven ability to optimize and tune queries and ETL jobs.
• Experience with orchestration tools (e.g., Control‑M) and data quality frameworks.
• Solid background in solution engineering, data modeling (logical & physical) and operations.
• Familiarity with SQL Server, Oracle; exposure to Vertica, NoSQL and semi/unstructured data.
• Experience or exposure to Hadoop distributions (Cloudera, MapR, Hortonworks) and big‑data/cloud technologies (Azure, Snowflake, HDFS, Spark) is a plus.
• Hands‑on experience with Google Cloud Platform (GCP) data services in enterprise‑level implementations (e.g., Cloud Storage, BigQuery, Dataflow, Dataproc, Pub/Sub, Composer, Data Fusion).
• Experience with BI tools such as Power BI or IBM Cognos is advantageous.
• Strong analytical, communication and collaboration skills; able to manage priorities in a fast‑paced environment.
• Bachelor’s degree in Computer Science, MIS or related field.

Preferred (Optional)

• Microsoft Certified: Azure Data Engineer Associate.
• Informatica Cloud/BDM Professional.