Senior /Lead Data Engineers with Strictly 7.5 Years to 14 Years of experience. Immediate joiners are Highly Preferred.
Locations: Hyderabad | Pune | Bangalore | Coimbatore
Experience: Strictly 7.5 years to 14 Years
Work Mode: Work from Office 4 Days a Week
Required Skills:
- Azure Databricks, Azure Data Factory (ADF), PySpark and SQL
- Delta Lake, Data Pipeline Development and Optimization
Interview Process: Virtual Technical Discussion followed by Face-to-Face Interview
Notice Period: Immediate joiners are highly preferred.
Share Profiles to
[email protected]
Job Description Senior/Lead Data Engineer
You will be responsible for designing, developing, and optimizing scalable data pipelines using Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) to build robust ETL solutions and enable data-driven insights.
- Design, develop, and maintain ETL pipelines using Azure Data Factory (ADF) for data ingestion and transformation.
- Strong hands-on experience with Azure Databricks,
Delta Lake, and Delta Live Tables (DLT).
- Strong experience implementing Medallion Architecture (Bronze, Silver, and Gold layers) for scalable data processing.
- Write and optimize SQL, and PySpark code for efficient data processing and transformation.
- Solid experience in Apache Spark optimization, including performance tuning, partitioning, caching, and optimizing joins.
- Hands-on experience with Azure services, including ADLS, Azure Databricks, ADF, Azure Synapse Analytics, and Azure SQL Database.
- Experience building data ingestion, processing, and analytical pipelines for big data and relational databases.
- Familiarity with DevOps practices and CI/CD deployments for data engineering solutions.
- Strong communication skills with the ability to collaborate effectively with technical teams and business stakeholders.
📌 Senior Data Engineer (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad