24 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation.
- Build and maintain data pipelines using AWS cloud services, including Amazon Redshift, AWS Lambda, Amazon S3, AWS Glue, AWS IAM, and Amazon CloudWatch.
- Develop SQL queries and Python scripts for data processing, automation, and analytics.
- Partner with Business Intelligence, AI/ML, and Infrastructure teams to deliver reliable data platform solutions.
- Create and maintain solution designs, data flow diagrams, operational guides, and other technical documentation.
- Write unit tests, perform code reviews, and follow coding standards and software development best practices.
- Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
- Apply data governance guidelines and manage multiple projects and priorities.
Requirements
- 3–5 years of hands-on experience in Data Engineering.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Strong experience designing and developing ETL/ELT pipelines.
- Proficiency in SQL and Python.
- Hands-on experience with AWS services, including Amazon Redshift, AWS Lambda, Amazon S3, AWS Glue, AWS IAM, and Amazon CloudWatch.
- Experience with workflow orchestration tools such as Apache Airflow.
- Understanding of data warehousing concepts and dimensional data modeling.
- Knowledge of version control systems such as Git.
- Experience writing unit tests and following software development best practices.
- Strong analytical, problem-solving, debugging, communication, documentation, collaboration, and multitasking skills.
- Preferred experience includes CI/CD pipelines, DevOps practices, Spark, PySpark, Databricks, AI/ML data pipelines, and feature engineering.
- AWS Developer Associate or Data Engineer Associate certification is preferred.
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).