DataBricks - Data Engineering

3 days ago


Hyderabad, Telangana, India Wipro Full time ₹ 15,00,000 - ₹ 30,00,000 per year

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

Long Description

Role: Lead Developer Role-Databricks

Location: Wipro PAN India

Hybrid 3 days in office

Experience: 6-13 Years

JD:

Designing and implementing highly performant data ingestion pipelines from multiple sources using Azure Databricks. 5+ years of experience with cloud data engineering (preferably Azure), data pipelines and Spark.

Work with Databricks platform using Spark for big data processing and analytics.

Write optimized and efficient code using PySpark, SparkSQL and Python.

Develop and maintain ETL processes using Databricks notebooks and workflows.

Implement and optimize data pipelines for data transformation and integration.

Mandatory Skills: Snowflake.

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. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.


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