InfoObjects Software - Senior Data Engineer - ETL

<p><p><b>Key Responsibilities :</b><br/><br/>- Design, develop, and manage data pipelines using Databricks (Spark, Delta Lake).<br/><br/></p><p>- Optimize large-scale data processing workflows for performance and reliability.<br/><br/></p><p>- Collaborate with Data Scientists, Analysts, and Business Stakeholders to gather requirements and deliver actionable insights.<br/><br/></p><p>- Maintain and enforce data quality and integrity across multiple data sources and systems.<br/><br/></p><p>- Work with cloud data platforms such as Azure, AWS, or GCP.<br/><br/></p><p>- Implement data governance and lineage tracking using tools like Unity Catalog, Great Expectations, or similar.<br/><br/></p><p>- Monitor, debug, and troubleshoot data pipelines and jobs.<br/><br/><b>Required Qualifications :</b><br/><br/>- 7+ years of professional experience in data engineering or similar roles.<br/><br/></p><p>- Strong experience with Databricks, Apache Spark, and Delta Lake.<br/><br/></p><p>- Proficient in SQL, Python, and distributed data processing concepts.<br/><br/></p><p>- Experience working with cloud platforms (Azure/AWS/GCP) and cloud-native tools.<br/><br/></p><p>- Hands-on experience with ETL/ELT processes, data warehousing, and modern data stack.<br/><br/></p><p>- Familiarity with CI/CD practices and version control tools (e.g., Git).<br/><br/></p><p>- Strong problem-solving skills and ability to work independently or in a team environment.</p><br/></p> (ref:hirist.tech)