{bc}
Company Site

AWS Data Engineer

Wipro
Bengaluru, IND
Senior · 8–10 years experience
Onsite
Discovered 5 days ago
airflowawskinesisredshiftscalaspark

Full Job Posting

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.

Qualifications

  • 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.
  • Data Engineering Full Stack.
  • 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.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Wipro