Senior Data EngineerIT Corporate • Hyderabad, Telangana, India
Senior Data Engineer
IT Corporate • Hyderabad, Telangana, India
7 hours ago
Job description3 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. 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.
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 :
Expertise and / or relevant experience in the following areas are desirable but not mandatory :
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Senior Data Engineer • Hyderabad, Telangana, India
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