1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and dbt.
- Build and maintain data integration workflows from multiple sources into Snowflake.
- Write efficient SQL queries for data extraction and transformation.
- Translate stakeholder business requirements into technical data solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Maintain data quality, governance, metadata, and documentation standards.
- Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.
Requirements
- Bachelor’s or master’s degree in computer science, data engineering, information systems, or a related field.
- 8+ years of experience in data engineering roles using Azure and Snowflake.
- Strong experience with Azure Cloud Platform services and Azure Data Factory.
- Proficiency in SQL, Snowflake, SnowSQL, and dbt.
- Hands-on experience with cloud-based data environments and large-scale datasets.
- Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions is preferred.
- Familiarity with Python or PySpark for custom data transformations is preferred.
- Understanding of CI/CD pipelines, DevOps, data governance, metadata management, and data catalog tools is preferred.
- Knowledge of Power BI or Tableau is preferred.
- Strong problem-solving, communication, and collaboration skills.
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).