AWS Data Engineer

Bengaluru, Ind-29, IN, 560035

Actively hiring, first seen by us 2 days ago

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

What you’ll work on

Full posting

Develop, enhance and optimize data pipelines on AWS services and custom ETL tools
Automate data pipelines and deploy code across environments
Design job scheduling and optimize Airflow job orchestration
Design batch and stream monitoring and usage tracking in systems

From the employer’s posting

Develop, enhance & optimize data pipelines using AWS service, custom ETL tools

automating data pipelines. Experience in code deployment in various environments

Designing job scheduling, optimizing airflow job orchestration

designing batch/stream monitoring in systems, usage tracking etc.

What you’ll bring

All qualifications

Core experience

6 to 12 years of data engineering experience
Design experience with Big Data platforms, data lake, lakehouse and Medallion architecture
Strong SQL and PL-SQL scripting in columnar databases
Strong skills in Redshift, Glue, PySpark, Spark, S3 and shell scripting
Data modelling experience

Qualification wording

Data engineers with 6 to 12 years’ experience

Excellent understanding and design experience of Big Data platform, Data Lake, Lakehouse architecture, Medallion architecture

Excellent in SQL/PL-SQL scripting in columnar database

Strong skills in Redshift, SQL, PL-SQL, Glue, PySpark, Spark, S3, Shell scripting

Excellent Data Modelling experience

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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: Nov 2, 20262 days ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

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

How this job compares

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Day 2

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From 10,704 similar postings that came down. Coming down is not always a hire.

Wipro is hiring

173 open jobs

Open jobs by the week we first saw them, last 12 weeks.

1% of open jobs were reposted

Hiring record

See how this role fits your experience

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Scala
SQL
AWS
Redshift
S3
Spark
Airflow
PySpark

Where the posting names them

We are looking for Data engineers with 6 to 12 years’ experience with the below skills Mandatory Skills: Excellent understanding and design experience of Big Data platform, Data Lake, Lakehouse architecture, Medallion architecture and modern data architecture. Excellent in SQL/PL-SQL scripting in columnar database Excellent Data Modelling experience Strong skills in Redshift, SQL, PL-SQL, Glue, PySpark, Spark, S3, Shell scripting Strong skills in Airflow, Kinesis, Step function and related ETL-DW data services Develop, enhance & optimize data pipelines using AWS service, custom ETL tools and automating data pipelines. Experience in code deployment in various environments• Designing job scheduling, optimizing airflow job orchestration, designing batch/stream monitoring in systems, usage tracking etc. Excellent implementation skills in AWS tech stack, ETL & ELT, DW BI, EMR, S3, SQS, Step function, Lambda, Scala. Mandatory Skills: Data Engineering Full Stack .

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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

We are looking for Data engineers with 6 to 12 years’ experience with the below skills

Mandatory Skills:
Excellent understanding and design experience of Big Data platform, Data Lake, Lakehouse architecture, Medallion architecture and modern data architecture.
Excellent in SQL/PL-SQL scripting in columnar database
Excellent Data Modelling experience
Strong skills in Redshift, SQL, PL-SQL, Glue, PySpark, Spark, S3, Shell scripting
Strong skills in Airflow, Kinesis, Step function and related ETL-DW data services
Develop, enhance & optimize data pipelines using AWS service, custom ETL tools and automating data pipelines.
Experience in code deployment in various environments•
Designing job scheduling, optimizing airflow job orchestration, designing batch/stream monitoring in systems, usage tracking etc. Excellent implementation skills in AWS tech stack, ETL & ELT, DW BI, EMR, S3, SQS, Step function, Lambda, Scala.

Mandatory Skills: Data Engineering Full Stack .

Experience: 8-10 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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