CHENNAI · FULLTIME
Data Engineer
UST Global
Chennai · onsite · Posted 42d ago
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Undisclosed8–12 yrsfulltimeChennai
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Section · 01
About this role
We are looking for an experienced Data Engineer with 8+ years of experience in designing, building, and maintaining scalable data pipelines and data processing workflows on AWS . The ideal candidate should have strong hands-on expertise in AWS Glue, Python, Amazon S3, and large-scale data transformation and ingestion workflows .
Experience with AWS Bedrock will be an added advantage.
Key Responsibilities
- Design, build, and maintain scalable data pipelines on AWS .
- Develop and manage data ingestion and transformation workflows using AWS Glue .
- Perform large-scale data transformation and processing using Python and related data engineering technologies.
- Work with Amazon S3 for data storage and data lake solutions.
- Develop reliable and efficient ETL/ELT pipelines for large volumes of data.
- Ensure data pipelines are scalable, performant, reliable, and maintainable.
- Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
- Monitor, troubleshoot, and optimize data pipelines and transformation workflows.
- Work with data visualization and analytics solutions such as Amazon QuickSight .
- Explore and integrate emerging AWS capabilities, including AWS Bedrock , where applicable.
Mandatory Skills
- AWS Glue
- Python
- AWS Data Pipelines
- Large-Scale Data Transformation
- Data Ingestion Workflows
- Amazon S3
Optional / Good-to-Have Skills
- PySpark
- Amazon QuickSight
- AWS Bedrock
Technical Skills
- AWS
- AWS Glue
- Amazon S3
- Python
- Data Pipelines
- ETL / ELT
- Large-Scale Data Transformation
- Data Ingestion
- PySpark
- Amazon QuickSight
- AWS Bedrock
Preferred Candidate Profile
- 8+ years of experience in Data Engineering .
- Strong hands-on experience building and maintaining AWS-based data pipelines .
- Strong expertise in AWS Glue and Python .
- Experience handling large-scale data transformation and ingestion .
- Good understanding of AWS data storage and processing services.
- Exposure to PySpark, QuickSight, and AWS Bedrock will be an advantage.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Aws GlueBedrockData EngineerData ingestionaws bedrockamazon web servicesdata storageamazon s3data transformationeltAnalyticsData LakePysparkData EngineeringPythonData VisualizationData ProcessingETLData Pipeline
Section · Company
About UST
UST Global
IT Services & Consulting
14.0k+
employees
1999
27 years old
Aliso Viejo, California
US
₹12.9L PA avg
Avg at UST
About
UST helps the world's best organizations succeed through digital transformation, crafting disruptive solutions and strategies bringing our clients vision to life.
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IT Services & ConsultingManufacturing
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