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Tier-1 employer, generalist data role in Hyderabad with broad skillset leads to high candidate competition.
Core cloud, PySpark, and ETL skills are highly transferable across industries.
Explicit 8–13 years plus mandatory cloud, PySpark, Python and ETL skills make shortlisting highly strict.
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Design, build, and optimize scalable data pipelines and platforms using cloud technologies (AWS preferred).
Manage end-to-end data pipeline projects including scope, timelines, and risk management.
Ensure data quality and integrity through rigorous testing and monitoring while mentoring junior engineers.
8 to 13 years of professional experience in data engineering or related fields.
Proficiency in Python, PySpark, SQL, and hands-on experience with cloud platforms (AWS, Azure, or GCP).
Bachelor’s degree in Computer Science, Engineering, or related field is preferred.
Experience with big data ETL performance tuning is mandatory.
Senior-level data engineer comfortable owning full project lifecycles and driving complex integrations.
Experienced with cloud architecture to build cost-effective, scalable data solutions.
Skilled in cross-team collaboration with data scientists, analysts, and business stakeholders to deliver actionable data products.