Job Title: Azure Data Engineering Lead
Experience: 5 years
Location: Hyderabad (Hybrid WFO)
Notice Period: Immediate
We are looking for a highly skilled Azure Data Engineering Lead to design develop and optimize scalable data solutions using Azure Databricks and Azure Data Factory (ADF). This role involves collaborating with cross-functional teams to deliver robust data pipelines enable advanced analytics and support enterprise data initiatives.
Data Pipeline Development:
Build and maintain scalable ETL/ELT pipelines using ADF and Databricks notebooks.
Integrate data from diverse sources including Azure Data Lake SQL DBs Blob Storage and external APIs.
Advanced Data Engineering:
Develop distributed data processing workflows using PySpark Scala and Delta Lake in Databricks.
Implement data quality checks error handling and logging mechanisms.
Automation & DevOps:
Automate deployments using CI/CD pipelines with Azure DevOps and Terraform.
Manage version control and collaborative development using Git.
Performance Optimization:
Monitor and tune pipeline performance for cost-efficiency and scalability.
Troubleshoot and resolve data pipeline failures and bottlenecks.
Collaboration & Documentation:
Work with data scientists analysts and business stakeholders to understand data needs.
Document architecture workflows and best practices for internal knowledge sharing.
Azure
Azure Databricks
PySpark
Delta Lake
Azure Data Factory / Mapping Data Flows
SQL & Python
Terraform
CI/CD Git Agile methodologies
Azure certifications (DP-203 AZ-104)