About Wipro:
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. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
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- A PROUD HISTORY OF OVER 75 YEARS
- FY22 REVENUE 10.4 BN USD
- WE'RE PRESENT IN 66 COUNTRIES
- OVER 1,400 ACTIVE GLOBAL CLIENTS
Role - Sr. Data Engineer
Location: Minneapolis, MN or St. Louis, MO or Dallas, TX
Yrs. of experience: 10+ Yrs.
Mode of employment: Full-Time
Job Description:
Must have skills: Kubernetes, Spark, SQL, Scala and Azure
Hands on experience in PySpark, Spark SQL programming.
Should have hands on in Azure services like ADLS Gen2, AZ copy, Synapse, Kubernetes, Key vault.
Good knowledge in Azure concepts like Azure service principles.
Airflow scheduling .
Skilled in creating design documentation and knowledge of Data Engineering tools and technologies.
Expertise in cloud related big data integration and infrastructure tech stack using Azure & Apache Spark.
Very good data engineering mindset to build, maintain pipelines and resolve failures.
"Expected annual pay for this role ranges from [$ X110,000 ] to [$ 130,000 ]. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options."
Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
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Apache Spark