Data stage with Pyspark

Hyderabad, Ind-36, IN, 500032

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

Apply at Wipro

What you’ll work on

Full posting

Design, develop, and maintain ETL workflows using IBM DataStage
Build scalable batch and real-time data pipelines using PySpark
Analyze existing DataStage jobs and convert them to PySpark frameworks
Develop data ingestion, transformation, and validation processes
Optimize Spark jobs for performance, scalability, and reliability

From the employer’s posting

Design, develop, and maintain ETL workflows using IBM DataStage

Build scalable batch and real-time data pipelines using PySpark

Analyze existing DataStage jobs and convert/migrate them to PySpark-based frameworks.

Develop data ingestion, transformation, and validation processes for large-scale datasets.

Optimize Spark jobs for performance, scalability, and reliability.

What you’ll bring

All qualifications

Core experience

5-8 years of experience
DataStage (mandatory skill)
PySpark
Complex SQL for transformation and reporting

Qualification wording

Experience: 5-8 Years

Mandatory Skills: DataStage

Build scalable batch and real-time data pipelines using PySpark

Develop complex SQL queries for data transformation and reporting.

Tools in this posting

SQL
Spark
PySpark

Source

- Optimize Spark jobs for performance, scalability, and reliability. - Develop complex SQL queries for data transformation and reporting. - Collaborate with business stakeholders, architects, and downstream consumers to gather requirements.

- Work with structured, semi-structured, and unstructured data sources. - Optimize Spark jobs for performance, scalability, and reliability. - Develop complex SQL queries for data transformation and reporting.

- Design, develop, and maintain ETL workflows using IBM DataStage. - Build scalable batch and real-time data pipelines using PySpark. - Analyze existing DataStage jobs and convert/migrate them to PySpark-based frameworks.

- Build scalable batch and real-time data pipelines using PySpark. - Analyze existing DataStage jobs and convert/migrate them to PySpark-based frameworks. - Develop data ingestion, transformation, and validation processes for large-scale datasets.

Posting record

Report an error

Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 2026 · 1 day ago
Recorded sightings: 13
Last seen by us: Oct 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

Have your resume and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the pay range before committing time to the process.

Complete your application on careers.wipro.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description

Design, develop, and maintain ETL workflows using IBM DataStage.
Build scalable batch and real-time data pipelines using PySpark.
Analyze existing DataStage jobs and convert/migrate them to PySpark-based frameworks.
Develop data ingestion, transformation, and validation processes for large-scale datasets.
Work with structured, semi-structured, and unstructured data sources.
Optimize Spark jobs for performance, scalability, and reliability.
Develop complex SQL queries for data transformation and reporting.
Collaborate with business stakeholders, architects, and downstream consumers to gather requirements.
Perform data reconciliation, testing, and production support activities.
Create technical documentation and follow coding best practices.

Mandatory Skills: DataStage .

Experience: 5-8 Years .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Hyderabad, Ind-36, IN, 500032

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at careers.wipro.com ↗Read the full description ↓

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn