Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries.
About The Job:
- We are looking for an experienced AWS Data Engineer with solid expertise in Python, PySpark, and AWS Data Services to design, develop, and optimize scalable data pipelines and cloud-based data engineering solutions. The ideal candidate should have hands-on experience in developing large-scale data processing applications, data lake implementations, and ETL/ELT frameworks on AWS
Essential Job Functions:
- Design, develop, and maintain scalable data pipelines using Python and PySpark.
- Build and optimize ETL/ELT processes on AWS cloud platforms.
- Develop batch and real-time data processing solutions.
- Work with large-scale structured and unstructured datasets.
- Create and maintain Data Lakes and Data Warehouse solutions.
- Perform data quality validation, monitoring, and troubleshooting.
- Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver data solutions.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Participate in code reviews and ensure adherence to coding standards.
- Support production deployments and resolve critical incidents.
Qualifications:
Relevant Experience:
- 6–12 years of overall IT experience.
- Minimum 4+ years of hands-on experience in Python and PySpark development.
- Experience in AWS-based data engineering projects.
- Strong exposure to Data Warehousing and Data Lake architectures.
Education:
- BE / B.Tech / MCA / M.Tech or equivalent.
Must-Have Skills:
- Strong programming experience in Python
- Hands-on expertise in PySpark
- Experience with AWS services such as:
- S3
- EMR
- Glue
- Lambda
- IAM
- Athena
- Redshift
- Strong SQL and Data Warehousing conc
📌 AWS Data Engineer (India)
🏢 VARITE
📍 India
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