
Senior Data Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Lead the design, development, testing, and deployment of data solutions and pipelines.
- Collaborate with stakeholders to ensure technology solutions meet business requirements and optimize resource costs.
- Contribute to engineering standards, data modeling, and operational readiness.
- Provide technical leadership and mentorship to peers and junior engineers.
- Communicate project status and technical concepts clearly to both technical and non-technical audiences based in the U.S. and locally.
- Ensure effective change management and solution adoption through documentation, training, and knowledge transfer.
- Manage multiple priorities in a fast-paced, agile environment.
- Continuously improve processes, tools, and methodologies based on industry best practices.
- 5 to 7 years of experience in data engineering or related roles.
- Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Redshift, S3, EC2, Lambda, SQS, and SNS.
- Hands-on experience with AWS Glue, Amazon Data Firehose, EMR, and Athena in high-volume environments.
- Expert in SQL and proficient in PySpark and Python.
- Deep understanding of data platform paradigms and software/data architecture.
- Understanding of data modeling principles and data warehousing techniques is essential.
- Proven ability to troubleshoot and resolve complex performance issues utilizing tools such as DataDog, CloudWatch, Splunk, dBeaver, and DataGrip
- Strong problem-solving, communication, and time management skills.
- Experience working in agile, multi-project environments.
- Working knowledge of Apache Iceberg, AWS Lake Formation and AWS DataZone.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with data governance frameworks, security, and compliance standards.