Technical Lead-Data Engg

Birlasoft
India
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 10-15 yearsSkills: []

Design and develop scalable ETL/ELT and data modeling solutions for enterprise data platforms using PySpark, Spark SQL, Python, and Databricks. Build Bronze/Silver/Gold transformation logic and reusable data processing frameworks, optimize performance and cost, and enforce data quality and validation. Create dimensional, star/snowflake, and Data Vault 2.0 models, deliver curated data products in Databricks SQL/Delta Lake, and support life-sciences data platforms with strong regulatory and governance practices.

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FursaFursa
Birlasoft
Birlasoft
1 week ago

Technical Lead-Data Engg

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Last checked: 13 hours agoStatus: Live

Job Summary

Design and develop scalable ETL/ELT and data modeling solutions for enterprise data platforms using PySpark, Spark SQL, Python, and Databricks. Build Bronze/Silver/Gold transformation logic and reusable data processing frameworks, optimize performance and cost, and enforce data quality and validation. Create dimensional, star/snowflake, and Data Vault 2.0 models, deliver curated data products in Databricks SQL/Delta Lake, and support life-sciences data platforms with strong regulatory and governance practices.
Location: India
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable ETL/ELT pipelines using PySpark, Spark SQL, Python, and Databricks.
  • •Build transformation logic across Bronze/Silver/Gold layers using reusable frameworks and common utilities.
  • •Optimize transformation workloads for performance, scalability, and cost while enforcing data quality, validation, and business-rule checks.
  • •Create enterprise data models using dimensional modelling, star/snowflake schemas, Data Vault 2.0, and canonical models; deliver curated analytical datasets via Databricks SQL and Delta Lake.
  • •Support data platforms across clinical trials, regulatory/submission systems, pharmacovigilance/safety, commercial analytics, and real-world evidence; ensure compliance with data governance and regulatory requirements (GxP, 21 CFR Part 11, HIPAA/GDPR, ALCOA+).

Key Requirements

  • •10–15 years of experience in Data Engineering and enterprise data platforms.
  • •Hands-on experience with Databricks, Apache Spark, PySpark, Python, and SQL.
  • •Strong experience designing ETL/ELT for batch and streaming pipelines, including Delta Lake and Databricks Workflows.
  • •Experience with data modelling (dimensional modelling, star/snowflake schemas, Data Vault 2.0, canonical data models) plus data quality and reconciliation.
  • •Knowledge of CI/CD, Git, Jenkins, DevOps practices, and cloud platforms (AWS/Azure/GCP); life sciences/pharma experience preferred.
Experience:10-15 yearsData engineeringEnterprise data platformsLife sciencesPharmaClinical trials
Tech Stack:PySparkSpark SQLPythonDatabricksDatabricks SQLDelta LakeDimensional modellingStar/Snowflake schemasData Vault 2.0Canonical data modelsETL/ELTBronzeSilverGoldDatabricks WorkflowsUnity CatalogAWSAzureGCPCI/CD

Company Brief

Birlasoft
Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Noida, India
WebsiteLinkedIn