PySpark Developer with AWS

TymblHub; Kolkata District; On-site; INR 560,000 - 720,000; Full time

Job summary

Tata Consultancy Services is seeking a PySpark Developer with strong AWS expertise to design, develop, and optimize scalable data-processing solutions. The candidate should have hands-on experience in PySpark, Python, Spark, SQL, ETL/data pipelines, and AWS cloud services.

AWS experience is mandatory for this position. The role requires building and optimizing PySpark jobs, working with S3, Glue, EMR, Redshift, and CloudWatch, and collaborating with data teams to ensure data quality and

Qualifications

• Experience with PySpark and AWS cloud services.
• Strong Python, Spark, SQL, ETL/data pipelines experience.
• AWS experience is mandatory for data engineering roles.
• Proficient in Big Data processing and building scalable pipelines.

Responsibilities

• Develop and maintain large-scale PySpark data processing applications.
• Build scalable ETL/ELT data pipelines using AWS services.
• Write and optimize complex SQL queries for analytics workloads.
• Collaborate with data architects and engineering teams to optimize performance.

Skills

PySpark

AWS

Apache Spark

Python

SQL

ETL / Data Engineering

Data Pipelines

Big Data Processing

Tools

AWS S3

AWS Glue

AWS EMR

AWS Lambda

AWS Redshift

AWS IAM

AWS CloudWatch

Job description

# PySpark Developer with AWSTata Consultancy ServicesPosted on October 18, 2026---Experience8 - 10 yrsSalary (CTC)₹5.6L - ₹7.2LJob LocationKolkata, IndiaVacancy20DesignationPyspark DeveloperJob TypeONSITE---## Job Descriptiona { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }PySpark Developer with AWS**Experience:** 810 Years **Locations:** Hyderabad / Bangalore / Kolkata **Primary Skill:** PySpark **Mandatory Skill:** **AWS****Job Summary:** We are looking for an experienced **PySpark Developer with strong AWS expertise** to design, develop, and optimize scalable data-processing solutions. The candidate should have strong hands-on experience in PySpark, Python, Spark, SQL, ETL/data pipelines, and AWS cloud services.**AWS experience is mandatory for this position.**Mandatory Skills* PySpark* **AWS – Mandatory*** Apache Spark* Python* SQL* ETL / Data Engineering* Data Pipelines* Big Data Processing* AWS services such as S3, Glue, EMR, Lambda, Redshift, IAM and CloudWatchKey Responsibilities* Develop and maintain large-scale data processing applications using PySpark.* Build scalable ETL/ELT data pipelines.* Work with AWS cloud services for data engineering workloads.* Write and optimize complex SQL queries.* Optimize PySpark/Spark jobs for performance and scalability.* Troubleshoot data pipeline and data quality issues.* Collaborate with data architects and engineering teams.