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Mid-level generalist Data Engineer role in Bangalore with broad skills and metro location increases candidate competition.
Core data engineering skills (PySpark, Databricks, cloud) are highly transferable across industries.
Explicit 3-5 years plus multiple mandatory cloud, Databricks, PySpark, testing and CI/CD requirements increases filtering strictness.
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Design, develop, and maintain scalable cloud-based data infrastructure and pipelines using SQL, PySpark, and Databricks.
Collaborate globally with JLLT teams and cross-functional stakeholders to define data ingestion architecture and deliver data solutions.
Troubleshoot data processing issues and ensure data quality across data lakes, warehouses, and analytical platforms.
Bachelor's degree in Computer Science, Data Engineering, or related field; Master's preferred.
3-5 years of experience in data engineering or full-stack development focused on cloud environments.
Strong expertise in Python, SQL, PySpark, Spark, and Databricks; experience with AWS, Azure, or GCP required.
On-site work location in Bengaluru, Karnataka required.
Experienced in large-scale data projects involving cloud data warehousing and ETL pipeline automation.
Skilled in backend testing, automation frameworks, and DevOps integration for CI/CD.
Capable of working effectively in a fast-paced, global, collaborative environment with evolving technologies.