Walk-in Drive for AWS Data Engineer | Exciting Career Opportunities!
⚡ 3 cities | 1 day
Walk-in Interview Drive Date: 22-Aug-26 (Saturday)
⏰Registration Time: 9:00 AM to 12:30 PM
Experience: 5 to 15 years
Locations:
#Chennai Tata Consultancy Services : Siruseri Campus is located at Plot No. 1/G1, SIPCOT IT Park, Navalur Post, Siruseri, Chennai, Tamil Nadu 603103

#Bangalore Tata Consultancy Services: Think Campus 42, 45-P, Hosur Rd, Phase II, Konappana Agrahara, Karnataka 560100

#Pune Tata Consultancy Services: Sahyadri Park 2, Interview Bay, Plot No. 2 & 3, Phase 3, Rajiv Gandhi Infotech Park, Hinjewadi, Pune, Maharashtra, 411057

Job Title: AWS Data Engineer (Python & PySpark)
Experience:
6 – 12 Years
Location:
Pune / Bangalore / Hyderabad / Chennai / Mumbai
Job Description:
We are looking for an experienced AWS Data Engineer with strong 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. [TCS_JD_Tem...Developer | Word] , [TCS_JD_Tem...pr aws TRP | Word]
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 concepts
Experience in building ETL/ELT pipelines




Data Lake/Data Warehouse implementation experience
Git/GitHub version control
Performance tuning and optimization of Spark applications
Understanding of Agile development methodologies
Good-to-Have Skills:
Databricks
Apache Airflow
dbt
Snowflake
Terraform
Kafka
CI/CD Pipelines
Docker/Kubernetes
Roles & Responsibilities:
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.
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.
Solid exposure to Data Warehousing and Data Lake architectures. [TCS_JD_Tem...Databricks | Word] , [TCS_JD_Tem...Developer | Word]
Education:
BE / B.Tech / MCA / M.Tech or equivalent.

📌 AWS Data Engineer (Chennai)
🏢 Tata Consultancy Services
📍 Chennai