Data Engineer

Pune, Ind-27, IN, 411005

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

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What you’ll work on

Full posting

Develop ETL and ELT data pipelines
Design data lake and data warehouse architecture
Provision infrastructure as code with Terraform
Run containerized workloads on Kubernetes
Apply CI/CD and DevOps practices

From the employer’s posting

ETL/ELT pipeline development

Data lake / data warehouse architecture

Terraform and Infrastructure as Code

Kubernetes and containerized workloads

CI/CD and DevOps practices

What you’ll bring

All qualifications

Core experience

4.5 to 7 years of experience
AWS cloud data platform engineering (S3, RDS, Glue, EMR, Lambda)
Spark, Python, and Scala
SQL and NoSQL databases (Redshift, MongoDB, MySQL)

Preferred experience

AI/ML and GenAI fundamentals

Qualification wording

Experience - 4.5 to 7 Years

Mandatory Skills: AWS Cloud Data Platform Engineering

Spark, Python, Scala

SQL and NoSQL databases (Redshift, MongoDB, MySQL)

AI/ML and GenAI fundamentals

Tools in this posting

Python
Scala
SQL
AWS
Kubernetes
MongoDB
MySQL
NoSQL
Redshift
S3
Spark
Terraform

Source

Role Purpose • AWS (S3, RDS, Glue, EMR, Lambda) • Spark, Python, Scala • SQL and NoSQL databases (Redshift, MongoDB, MySQL) • Data lake / data warehouse architecture • ETL/ELT pipeline development • Terraform and Infrastructure as Code • Kubernetes and containerized workloads • CI/CD and DevOps practices • AI/ML and GenAI fundamentals • AWS (S3, RDS, Glue, EMR, Lambda) • Spark, Python, Scala • SQL and NoSQL databases (Redshift, MongoDB, MySQL) • Data lake / data warehouse architecture • ETL/ELT pipeline development • Terraform and Infrastructure as Code • Kubernetes and containerized workloads • CI/CD and DevOps practices • AI/ML and GenAI fundamentals • Strong problem solving and ability to learn new technologies

• AWS (S3, RDS, Glue, EMR, Lambda) • Spark, Python, Scala • SQL and NoSQL databases (Redshift, MongoDB, MySQL) • Data lake / data warehouse architecture • ETL/ELT pipeline development • Terraform and Infrastructure as Code • Kubernetes and containerized workloads • CI/CD and DevOps practices • AI/ML and GenAI fundamentals • AWS (S3, RDS, Glue, EMR, Lambda) • Spark, Python, Scala • SQL and NoSQL databases (Redshift, MongoDB, MySQL) • Data lake / data warehouse architecture • ETL/ELT pipeline development • Terraform and Infrastructure as Code • Kubernetes and containerized workloads • CI/CD and DevOps practices • AI/ML and GenAI fundamentals • Strong problem solving and ability to learn new technologies Mandatory Skills: AWS Cloud Data Platform Engineering .

• AWS (S3, RDS, Glue, EMR, Lambda) • Spark, Python, Scala • SQL and NoSQL databases (Redshift, MongoDB, MySQL) • Data lake / data warehouse architecture • ETL/ELT pipeline development • Terraform and Infrastructure as Code • Kubernetes and containerized workloads • CI/CD and DevOps practices • AI/ML and GenAI fundamentals • Strong problem solving and ability to learn new technologies Mandatory Skills: AWS Cloud Data Platform Engineering . Experience: 3-5 Years .

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 2026 · 2 days ago
Recorded sightings: 11
Last seen by us: Oct 28, 2026

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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

Experience - 4.5 to 7 Years

Work Location - Pune

Role Purpose

• AWS (S3, RDS, Glue, EMR, Lambda)
• Spark, Python, Scala
• SQL and NoSQL databases (Redshift, MongoDB, MySQL)
• Data lake / data warehouse architecture
• ETL/ELT pipeline development
• Terraform and Infrastructure as Code
• Kubernetes and containerized workloads
• CI/CD and DevOps practices
• AI/ML and GenAI fundamentals

• AWS (S3, RDS, Glue, EMR, Lambda) • Spark, Python, Scala • SQL and NoSQL databases (Redshift, MongoDB, MySQL) • Data lake / data warehouse architecture • ETL/ELT pipeline development • Terraform and Infrastructure as Code • Kubernetes and containerized workloads • CI/CD and DevOps practices • AI/ML and GenAI fundamentals • Strong problem solving and ability to learn new technologies

Mandatory Skills: AWS Cloud Data Platform Engineering .

Experience: 3-5 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.

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Location & working pattern

Pune, Ind-27, IN, 411005

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