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.
Role – Azure Data Engineer
Location: Mount Laurel, NJ (Hybrid - 3 Days Onsite /Week)
Yrs. of experience: 6-8 Yrs.
Mode of employment: Full-Time
Job Description:
• Cloud certification
• Experience with Azure Data Factory, Azure Data bricks Spark (PySpark or scala), SQL
• Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle.
• Experience in Sqoop / Hadoop
• Microsoft Excel (for metadata files with requirements for ingestion)
• Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud
• Strong Programming skills with at least one of Python, Scala or Java
• Strong SQL skills ( T-SQL or PL-SQL)
• Data files movement via mailbox
• Source-code versioning/promotion tools, e.g. Git/Jenkins
• Orchestration tools, e.g. Autosys, Oozie
• Source-code versioning with Git.
“Expected annual pay for this role ranges from [$110,00] to [$120,000]. 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.
DataBricks - Data Engineering
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