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High because mid-level Data Engineer role, Bangalore metro, popular title and broad skill requirements increase candidate density.
Medium because core data engineering skills are transferable, but cloud/tool-specific requirements (ADF, Informatica) limit portability.
Medium due to explicit 2+ years requirement and multiple mandatory data platform and tooling skills.
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Design and implement data platforms and parameterized data pipelines to support AI products leveraging GPUs and CPUs.
Develop and automate data pipelines and workflows using Spark (Python and Scala), Dask, Python, and Argo for high-volume and real-time data delivery.
Oversee development by other engineers and ensure data quality through validation tests and performance profiling.
Minimum 2+ years of experience in a Data Engineer role.
Bachelor of Engineering degree, preferably in Computer Science.
Strong experience with Azure Data Factory and Python.
Candidate must be located in Bangalore and work on a hybrid model.
Experienced in building scalable, efficient data pipelines for AI and advanced analytics workloads.
Comfortable leading technical aspects and coordinating with clients and internal teams.
Skilled in cloud technologies, data orchestration tools (like Azure Data Factory, Informatica, Airflow), and performance optimization.