LTIMindtree
Website:
ltimindtree.com
Job details:
Location- Chennai
Experience: 5 to 12 years
We are seeking a highly skilled Platform Data Engineer to design build and scale enterprise grade data platforms The role focuses on high performance data processing cloud native data engineering and real time ingestion enabling analytics and downstream data consumption use cases
The ideal candidate brings strong hands on expertise in SQL Python PySpark AWS data services ETLELT design and streaming technologies and thrives in building resilient scalable data platforms
Key Responsibilities
- Design develop and optimize data processing pipelines for batch and real time workloads
- Build and maintain ETL ELT frameworks to ingest transform and serve data at scale
- Develop high performance data transformations using PySpark and Python
- Leverage Advanced SQL for data modeling transformations and performance tuning
- Implement cloud native data solutions using AWS Data Engineering services
- Design and integrate streaming data pipelines using Kafka for real time data ingestion
- Ensure data reliability scalability and performance across platform components
- Collaborate with architects product owners and analytics teams to deliver platform ready data solutions
- Follow engineering best practices for code quality testing and deployment
Required Technical Skills
- Advanced SQL for complex querying optimization and data transformations
- Python for data processing automation and pipeline orchestration
- PySpark for largescale distributed data processing
- AWS Data Engineering experience cloud native data platforms and services
- Strong hands-on experience in ETL ELT design and implementation
- Experience building and consuming Kafka based streaming pipelines
Preferred Experience
- Experience working on enterprise data platforms or data lakes
- Understanding of distributed data processing and scalable architectures
- Exposure to both batch and real time ingestion patterns
- Familiarity with agile delivery models and cross functional collaboration
Click on Apply to know more.