InfoObjects Software - Senior Data Engineer - ETL

Key Responsibilities :

- Design, develop, and manage data pipelines using Databricks (Spark, Delta Lake).

- Optimize large-scale data processing workflows for performance and reliability.

- Collaborate with Data Scientists, Analysts, and Business Stakeholders to gather requirements and deliver actionable insights.

- Maintain and enforce data quality and integrity across multiple data sources and systems.

- Work with cloud data platforms such as Azure, AWS, or GCP.

- Implement data governance and lineage tracking using tools like Unity Catalog, Great Expectations, or similar.

- Monitor, debug, and troubleshoot data pipelines and jobs.

Required Qualifications :

- 7+ years of professional experience in data engineering or similar roles.

- Strong experience with Databricks, Apache Spark, and Delta Lake.

- Proficient in SQL, Python, and distributed data processing concepts.

- Experience working with cloud platforms (Azure/AWS/GCP) and cloud-native tools.

- Hands-on experience with ETL/ELT processes, data warehousing, and modern data stack.

- Familiarity with CI/CD practices and version control tools (e.g., Git).

- Strong problem-solving skills and ability to work independently or in a team environment.