Senior Data Engineer

3 weeks ago

Hyderabad, India IT Corporate Full time

Job Description JOB TITLE: Data Engineer Remote The scope of the proposed services will include the following: - Assess feasibility and technical requirements for LINKS → DataLake integration. - Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines. - Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries). - Design scalable data workflows to improve data quality, integrity, and identity resolution. - Implement data governance, observability, and lineage tracking across all pipelines. - Mentor engineers, support testing, and enforce best practices in orchestration and architecture. - Document and communicate technical solutions to technical and non-technical stakeholders. Expertise and/or relevant experience in the following areas are mandatory: - 3 years of experience in data engineering and/or data architecture - 2 years of experience with Python for ETL and automation (pandas, requests, API integration). - 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL) - 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent). - year experience with cloud platforms (Azure, AWS, or GCP), including data onboarding/migration. - 1 year exposure to data lake / medallion architecture (bronze, silver, gold) - 2 years of experience providing written documentation and verbal communication for cross- functional collaboration. Expertise and/or relevant experience in the following areas are desirable but not mandatory: - 5+ years of experience in data engineering roles - Experience integrating or developing REST/JSON or XML APIs - Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.). - Exposure to Infrastructure as Code experience (Terraform, CloudFormation). - Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra). - Public health/healthcare dataset or similar experience, including PHI/PII handling. - Familiarity with SAS and R workflows to support epidemiologists and analysts. - Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery). - Familiarity with data quality frameworks (Great Expectations, Deequ). - Experience with real-time/streaming tools (Kafka, Spark Streaming). - Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop). - Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.). - Agile/SCRUM team experience.

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