Pyspark Data Engineer

Dear Professionals,

Greetings from Tata Consultancy Services (TCS)!!!

Job Title : Pyspark Data Engineer

Experience : 6- 10 Years

Location: Hyderabad/ Pune/ Chennai/ Bangalore

Job Requirements ;

We are seeking an experienced AWS Data Engineer to design, develop,

and maintain scalable data solutions on the Amazon Cloud Platform

(AWS). The ideal candidate will have strong expertise in building

modern data pipelines, data warehousing, big data processing, and

cloud-native analytics solutions. The role requires close collaboration

with business stakeholders, data architects, data scientists, and

application teams to deliver reliable and high-performance data

platforms.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using

AWS services.

• Build and maintain batch and real-time data ingestion and

processing frameworks.

• Develop enterprise-grade data warehousing solutions using PySpark.

• Convert Scala-based ETL, batch, and streaming pipelines into

PySpark frameworks.

• Optimize PySpark jobs for performance, scalability, and

resource utilization.

• Support cloud modernization initiatives on AWS/Databricks

platforms.

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• Implement ETL/ELT processes for structured and unstructured

data.

• Integrate data from multiple sources including databases, APIs,

files, and streaming platforms.

• Ensure data quality, governance, security, and compliance

across data platforms.

• Automate deployment and operational processes using CI/CD

and Infrastructure as Code (IaC).

• Monitor data pipelines and troubleshoot production issues.

• Collaborate with Data Architects, Business Analysts, and Data

Scientists to translate business requirements into technical

solutions.

• Implement data models, metadata management, and data

lineage best practices.

• Support migration of on-premises or multi-cloud data platforms

to AWS.

• Lead the migration, modernization, and optimization of Apache

Spark workloads on AWS EMR, including conversion of Scalabased Spark applications to PySpark, performance tuning,

cluster optimization, dependency management, and ensuring

scalable, cost-effective, and resilient data processing solutions.

Required Technical Skills

• PySpark

• SparkSQL

• AWS Glue

• AWS S3

• Step Functions

• Glue

• Lambda

• Pub/Sub

• Python

• SQL (Advanced)

• Event Bridge

• ECS