Pyspark Data Engineer (Bengaluru)

Pyspark Data Engineer (Bengaluru)

15 Sep
|
Tata Consultancy Services
|
Bengaluru

15 Sep

Tata Consultancy Services

Bengaluru

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 robust 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

📌 Pyspark Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru

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