Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

Responsibilities :

- Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

- Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

- Implement data governance and security best practices to ensure compliance and data integrity.

- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

- Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

- Bachelor's or master's degree in computer science, Engineering, or a related field.

- 2-10 years of prior experience in data engineering, with a focus on designing and building data pipelines.

- Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

- Strong programming skills in languages such as Python, Java, or Scala.

- Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

- Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.