1 month ago
Noida, IndiaEntry Level
Responsibilities
- Build, optimize, and maintain scalable data pipelines and workflows with senior data engineers and architects.
- Develop ETL/ELT processes using Databricks, Spark, Python, and SQL.
- Design and implement ingestion frameworks for structured and unstructured data sources.
- Build and maintain data models, data marts, and analytical datasets in Snowflake.
- Monitor, troubleshoot, and improve pipeline performance, reliability, and scalability.
- Collaborate with stakeholders, analysts, and data scientists to gather requirements and deliver data solutions.
- Participate in architecture discussions, proof-of-concepts, and process improvement initiatives.
- Document data flows, technical designs, and implementation details.
- Support data quality, security, and governance standards across data platforms.
Requirements
- Bachelor's or master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
- Strong foundation in SQL and database concepts.
- Good programming skills in Python or a similar language.
- Understanding of data warehousing, ETL/ELT processes, and data modeling.
- Familiarity with Databricks, Apache Spark, Snowflake, or cloud data platforms through academic projects, internships, certifications, hackathons, or personal projects.
- Basic knowledge of Azure, AWS, or GCP is preferred.
- Strong analytical, problem-solving, communication, collaboration, and learning skills.
Tech Stack
Categories
Data Engineering
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).