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Metro location, mid-level generalist title, and 5+ years drive high applicant competition.
Core data engineering skills are transferable, though healthcare ISMS and security needs add domain specificity.
Explicit 5+ years, mandatory AWS/PySpark/dbt stack and ISMS security needs increase filtering stringency.
Lead design and delivery of scalable data engineering solutions on AWS cloud using modern frameworks like Apache Iceberg, Glue, Athena, and orchestration tools.
Develop batch and near-real-time data pipelines, reusable frameworks for ingestion, transformation, validation, and support modernization of legacy workloads.
Participate in architecture/design, enforce data quality and security standards, mentor junior engineers, and uphold ISMS responsibilities including risk assessments and information security compliance.
5+ years of Data Engineering experience, preferably with enterprise-scale data initiatives.
Proficiency with AWS services: S3, Glue, Athena, Lake Formation, IAM, plus Apache Iceberg or similar tech (Delta Lake, Hudi).
Strong skills in Python, SQL, PySpark/Spark, dbt, and Airflow or AWS Step Functions.
Ability to commute or relocate to Hyderabad, Telangana (preferred).
Experienced in end-to-end cloud-native data platform development in healthcare or regulated industry settings.
Skilled both in hands-on engineering and cross-team collaboration including security risk management (ISMS).
Comfortable working with large-scale data infrastructure modernization and implementing rigorous data quality and security frameworks.