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Tier-1 employer, mid-level generalist data role in Bangalore with broad skills, high applicant density.
Specialized Databricks, Spark, and GenAI skills moderately limit transferability across industries.
Explicit 4–6 years plus required Databricks/Spark/Kafka/Python and cloud expertise increases shortlist strictness.
Design, build, and optimize scalable distributed data processing and ETL/ELT pipelines primarily on Databricks and related big data technologies.
Integrate and fine-tune generative AI infrastructure for building high-quality datasets and retrieval architectures to support AI models.
Develop backend services exposing data products and mentor junior engineers to uphold technical best practices.
Bachelor's degree in Computer Science or related field.
4-6 years of professional software engineering experience with a strong focus on data engineering.
Expert-level skills in Apache Spark, Hadoop, Kafka, Databricks/Delta Lake, and Python ecosystem (PySpark, Pandas, NumPy).
Experience with cloud platforms such as AWS or Azure at an advanced deployment level.
Experienced in bridging traditional big data engineering with modern generative AI technologies (GenAI, LLMs, vector databases).
Skilled in end-to-end data platform ownership including data architecture, system optimization, and app/backend engineering.
Comfortable operating in a fast-paced environment requiring mentorship and implementation of technical best practices.