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Mid-level data engineer, metro Bengaluru location, broad cloud/PySpark requirements, and common skillset drive high competition.
Core data engineering skills like PySpark, ETL, and cloud are highly transferable across industries.
Explicit 3–6 years requirement and mandatory cloud, PySpark, ETL, and SQL skills increase shortlisting strictness.
Own design, development, and maintenance of scalable data pipelines and infrastructure using Azure and related technologies.
Assemble and model large, complex datasets to support reporting and dashboard solutions that meet business needs.
Collaborate with cross-functional teams like Product, Data, and Design to resolve data-related technical issues and improve data system functionality.
Bachelor's degree in Engineering (B.E. or B.Tech) mandatory.
3 to 6 years of experience as a Data Engineer required.
Hands-on experience with Python/Scala/Java, PySpark, Spark performance tuning, and Big Data technologies such as Hadoop HDFS.
Experience working with public cloud platforms (AWS/Azure/GCP) and data services; knowledge of Azure services (ADF, Databricks, Synapse Analytics) or AWS counterparts preferred.
Experienced in building data infrastructure in cloud environments and optimizing ETL and data pipelines at scale.
Proficient with writing optimized SQL and programming in PySpark/Python/Scala with best coding practices.
Comfortable working with diverse teams and managing complex data systems to support business reporting and analytics requirements.