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 :- 3+ years of skilled 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. (ref:hirist.tech)

📌 InfoObjects Software - Data Engineer - Azure Databricks/Apache Spark (Jaipur)
🏢 INFO
📍 Jaipur