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Known employer, mid-level popular data role in Bangalore with broad skill requirements drives high competition.
Core data engineering skills (Python, SQL, Spark) are highly transferable across industries.
Explicit 2–5 years plus mandatory Databricks, PySpark, Python, SQL and cloud skills enforces high shortlisting strictness.
Develop and maintain scalable ETL/ELT data pipelines using Python, PySpark, SQL, and Databricks focused on cloud platforms like Azure and GCP.
Support migration of datasets and pipelines from legacy systems to modern cloud-based data platforms ensuring data quality and validation.
Collaborate with cross-functional teams to prepare and process data for AI-enabled solutions including exposure to Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).
2–5 years of experience in Data Engineering or related roles.
Proficient in Python, SQL, Spark/PySpark, and Databricks or similar cloud data processing platforms.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Experience with at least one cloud platform, preferably Microsoft Azure; understanding of Data Lake/Lakehouse concepts.
Strong hands-on data engineering skills with proven experience building and sustaining cloud-based ETL/ELT pipelines in an enterprise environment.
Comfortable working with diverse data types (structured and semi-structured) and implementing data quality and validation techniques.
Demonstrates interest and ability to work on AI-related data initiatives including Generative AI technologies and modern AI data preparation concepts.