Bangalore, Karnataka, India
Information Technology
Full-Time
Revalsys Technologies
Overview
Key Responsibilities
- Design, develop, and optimize big data pipelines using Azure Databricks, PySpark, and Delta Lake.
- Collaborate with Azure services like Data Lake, Synapse, SQL Database, and Data Factory to implement robust data solutions.
- Develop and maintain ETL/ELT workflows for efficient data ingestion, transformation, and processing.
- Implement data governance, security, and compliance best practices in Azure environments.
- Optimize Databricks clusters, workflows, and cost efficiency in cloud environments.
- Work closely with data scientists, analysts, and business stakeholders to ensure high-quality data solutions.
- Implement CI/CD pipelines for data engineering workflows using Azure DevOps.
- Ensure data quality, lineage, and observability using tools like Great Expectations, Unity Catalog, and Databricks Required Qualifications & Skills :
- Databricks Certified Data Engineer Associate (Preferred)
- Databricks Certified Data Engineer Professional Skills :
- Azure Cloud Services : Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Functions
- Big Data & ETL : PySpark, SQL, Delta Lake, Kafka (Preferred)
- Programming : Python, SQL, Scala (Optional)
- Orchestration & Automation : Airflow, Azure DevOps, GitHub Actions
- Data Governance & Security : Unity Catalog, RBAC, PII masking
- Performance Optimization : Spark tuning, Databricks cluster configuration, Experience :
- 2-4 years of experience in data engineering with a focus on Azure and Databricks
- Experience working in high-volume, real-time streaming environments
- Strong understanding of data modeling, warehousing, and governance best practices
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