Posted:6 days ago| Platform: Naukri logo

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Full Time

Job Description

We are seeking a Technical Lead \u2013 Data Engineering with strong expertise in Azure ADF and Databricks . The role involves leading the design, development, and optimization of ETL/ELT pipelines for clinical, genomics, and research datasets, while guiding technical delivery and ensuring best practices in scalability, governance, and cloud deployment.


Accountabilities
- Act as the technical lead for the project, providing guidance and direction to the engineering team.
- Design and build ETL/ELT pipelines to ingest, transform, and load data from clinical, omics, research, and operational sources.
- Optimize the performance and scalability of data flows using Apache Spark, Databricks, or AWS Glue.
- Collaborate with domain experts in genomics, clinical trials, and lab science to implement robust data solutions.
- Develop and maintain data models, schemas, and governance practices for structured and unstructured biomedical data.
- Implement data quality checks, lineage, logging, and alerts to ensure reliability and reproducibility.
- Work with cloud infrastructure teams to deploy pipelines on AWS, GCP, or Azure.
- Contribute to data lake/warehouse solutions such as Snowflake, Redshift, or Synapse.


Essential Skills / Experience
- Strong expertise in Azure ADF and Databricks .
- Proven track record in leading technical delivery for data engineering projects.
- Experience designing and optimizing ETL/ELT pipelines at scale.
- Proficiency in Apache Spark and modern cloud platforms (AWS, Azure, GCP).
- Solid knowledge of data modelling, governance, and schema management .
- Hands-on experience with data lakes and warehouses (Snowflake, Redshift, Synapse).
- Strong understanding of data quality, lineage, and reproducibility practices .


Desirable Skills / Experience
- Experience working with clinical, genomics, or biomedical datasets .
- Exposure to workflow orchestration tools (Airflow, Prefect, dbt).
- Familiarity with compliance and security frameworks in healthcare and research data.
- Strong leadership, mentoring, and cross-functional collaboration skills.
 

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