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Strong Amgen brand, popular senior Data Engineer role, metro Hyderabad, broad cloud/ETL skillset increases competition.
Data engineering skills (PySpark, AWS, ETL) are broadly transferable but biotech domain knowledge helps.
Explicit 8–13 years plus mandatory cloud, Python/PySpark and ETL skills make shortlisting highly strict.
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Design, build, and optimize scalable data pipelines and platforms leveraging cloud technologies (AWS preferred).
Own data pipeline projects end-to-end including scope, timelines, risk management, and ensuring data quality and integrity.
Collaborate with data analysts, scientists, and business stakeholders to understand and meet data requirements while mentoring junior engineers.
8 to 13 years of relevant work experience in data engineering or related roles.
Proven hands-on experience with cloud platforms (AWS, Azure, or GCP) and building scalable data solutions.
Proficiency in Python, PySpark, SQL, and big data ETL performance tuning.
Bachelor’s degree in Computer Science, Engineering, or related field.
Experienced in end-to-end data pipeline architecture and deployment with strong ownership.
Strong technical expertise in cloud-based data engineering, particularly AWS and big data tools like Apache Spark.
Comfortable working in cross-functional teams and mentoring junior staff with a focus on data quality and scalable solutions.