Posted:1 week ago|
Platform:
Work from Office
Full Time
We are looking for a skilled Senior Data Engineer with 24 years of experience to join our team. The role is hands-on and focuses on building, optimizing, and supporting scalable big data solutions using modern data engineering technologies and cloud platforms. You will work closely with cross-functional teams in an Agile environment to deliver high-quality data solutions.
- Design, develop, implement, and support scalable and high-performance data engineering solutions
- Write, test, and optimize production-grade code
- Work closely with Tech Leads, product owners, architects, and analysts
- Build and maintain real-time and batch data pipelines
- Troubleshoot and resolve development and production issues
- Provide technical support and recommend improvements to existing systems
- Advocate engineering best practices and agile principles
- Contribute actively as a squad member in an Agile/Scaled Agile environment
- 2–4 years of experience in Data Engineering or Software Engineering roles
- Strong experience with Python and PySpark
- Hands-on experience with Big Data frameworks such as Apache Spark, Kafka, and Hadoop
- Experience with AWS Big Data services including S3, Glue, EMR, Athena, Redshift, RDS, Kinesis
- Experience with relational databases such as Oracle or SQL Server
- Strong SQL skills, including complex query writing
- Experience with source control tools such as GitHub or Azure DevOps
- Good verbal and written communication skills
- Experience with CDC tools such as Debezium
- Knowledge of data warehousing concepts and BI tools
- Experience in data modeling
- Exposure to CI/CD pipelines, Jenkins, and workflow orchestration
- Experience working in Agile, CI/CD, and Continuous Delivery environments
- Competitive compensation (6–12 LPA)
- Opportunity to work on real-world, large-scale data platforms
- Exposure to modern Big Data and cloud technologies
- Collaborative and growth-oriented engineering culture
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