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Data Engineer
Job Location:
Job Location:
Coimbatore - India
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
5-10years
Experience Required:
Posted:
13 June 2026 (30+ days ago)
Posted:
Application Deadline:
10 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
- Design and implement scalable batch and streaming data pipelines using Azure Databricks Delta Live Tables and Apache Spark.
- Build and maintain ETL/ELT workflows orchestrated through Azure Data Factory and Databricks Workflows.
- Develop reusable and modular pipeline components following software engineering best practices.
- Architect and manage Lakehouse solutions using Delta Lake across Bronze Silver and Gold layers.
- Design and enforce data models schemas and governance policies using Unity Catalog.
- Optimize storage partitioning and query performance for large-scale datasets on ADLS Gen2.
- Manage Databricks clusters compute policies and job scheduling.
- Implement Infrastructure as Code (IaC) using Terraform or ARM templates.
- Integrate Databricks with Azure services including Synapse Event Hubs Key Vault and Azure DevOps.
Requirements
- Strong proficiency in PySpark Python and SQL for Big Data processing.
- Hands-on experience with Delta Lake Delta Live Tables (DLT) and Medallion Architecture.
- Strong experience with Azure Data Services including:
- Azure Data Lake Storage Gen2 (ADLS Gen2)
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Event Hubs
- Experience with Databricks Unity Catalog for data governance and access control.
- Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions for Databricks deployments.
- Strong understanding of distributed computing concepts Spark optimization partitioning and performance tuning.
- Experience with streaming data processing using Structured Streaming Kafka or Event Hubs.
Required Skills:
Strong proficiency in PySpark Python and SQL for Big Data processing. Hands-on experience with Delta Lake Delta Live Tables (DLT) and Medallion Architecture. Strong experience with Azure Data Services including: Azure Data Lake Storage Gen2 (ADLS Gen2) Azure Data Factory (ADF) Azure Synapse Analytics Azure Event Hubs Experience with Databricks Unity Catalog for data governance and access control.
