Job Description

? Walk-in Drive for AWS Data Engineer | Exciting Career Opportunities! ?

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⚡ 3 cities | 1 day

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? Walk-in Interview Drive ? Date: 22-Aug-26 (Saturday)

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⏰Registration Time: 9:00 AM to 12:30 PM

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Experience: 5 to 15 years

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? Locations:

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#Chennai Tata Consultancy Services : Siruseri Campus is located at Plot No. 1/G1, SIPCOT IT Park, Navalur Post, Siruseri, Chennai, Tamil Nadu 603103

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

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

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Job Title: AWS Data Engineer (Python & PySpark)

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Experience:

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6 – 12 Years

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Location:

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Pune / Bangalore / Hyderabad / Chennai / Mumbai

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Job Description:

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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]

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Must-Have Skills:

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- Strong programming experience in Python
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- Hands-on expertise in PySpark
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- Experience with AWS services such as:
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- S3
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- EMR
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- Glue
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- Lambda
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- IAM
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- Athena
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- Redshift
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- Strong SQL and Data Warehousing concepts
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- Experience in building ETL/ELT pipelines
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- Data Lake/Data Warehouse implementation experience
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- Git/GitHub version control
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- Performance tuning and optimization of Spark applications
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- Understanding of Agile development methodologies
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Valuable-to-Have Skills:

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- Databricks
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- Apache Airflow
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- dbt
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- Snowflake
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- Terraform
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- Kafka
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- CI/CD Pipelines
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- Docker/Kubernetes
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Roles & Responsibilities:

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- Design, develop, and maintain scalable data pipelines using Python and PySpark.
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- Build and optimize ETL/ELT processes on AWS cloud platforms.
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- Develop batch and real-time data processing solutions.
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- Work with large-scale structured and unstructured datasets.
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- Create and maintain Data Lakes and Data Warehouse solutions.
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- Perform data quality validation, monitoring, and troubleshooting.
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- Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver data solutions.
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- Optimize Spark jobs for performance, scalability, and cost efficiency.
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- Participate in code reviews and ensure adherence to coding standards.
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- Support production deployments and resolve critical incidents.
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Relevant Experience:

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- 6–12 years of overall IT experience.
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- Minimum 4+ years of hands-on experience in Python and PySpark development.
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- Experience in AWS-based data engineering projects.
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- Strong exposure to Data Warehousing and Data Lake architectures. [TCS_JD_Tem...Databricks | Word], [TCS_JD_Tem...Developer | Word]
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Education:

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- BE / B.Tech / MCA / M.Tech or equivalent.
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📌 AWS Data Engineer (Tamil Nadu)
🏢 Tata Consultancy Services
📍 Tamil Nadu