Data Engineer

6 days ago

Pune, India TalenTree Full time

Key Responsibilities : - Build and optimise data ingestion, transformation, and integration pipelines across multiple sources - clinical trials, EHR/EMR, laboratory systems, and commercial platforms.- Implement data lakes and data warehouses using modern cloud technologies (Azure, AWS, or GCP).- Develop and manage ETL/ELT workflows using tools such as Databricks, Azure Data Factory, or AWS Glue.- Ensure data quality, lineage, and governance aligned with compliance frameworks (HIPAA, GxP, GDPR).- Collaborate with data scientists and analytics teams to create reusable data models and feature stores.- Optimise data access and performance for analytical workloads and visualisation tools.- Automate deployments and monitoring using DevOps pipelines (Git, Jenkins, Azure DevOps).Required Skills & Experience : - Minimum 3 years of experience in data engineering or related roles.- Strong programming expertise in Python, PySpark, or Scala.- Proven experience with SQL and big-data frameworks (Spark, Hadoop, Kafka).- Hands-on experience with cloud-based data platforms - Azure Data Factory, Databricks, AWS Glue, Snowflake, or GCP Dataflow.- Solid understanding of data modelling techniques (Star, Snowflake, Dimensional).- Exposure to Life Sciences / Pharma datasets such as clinical trials, bioinformatics, or patient data models (CDISC, HL7, FHIR).- Knowledge of data security and compliance in regulated environments.Good to Have : - Experience with real-world evidence (RWE) or pharma commercial analytics datasets.- Familiarity with machine learning data preparation pipelines.- Knowledge of data visualization tools (Power BI, Tableau).- Cloud or data engineering certifications (Azure, AWS, GCP, Snowflake). (ref:hirist.tech)

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