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: Data Engineer
Location: Irving, TX (Hybrid - 3 Days WFO in a week)
Yrs. of experience: 6+ Yrs.
Mode of employment: Full-Time
Job Description:
Data Engineers Hadoop, Hive and PySpark
Focus: Hands-on analysis, performance tuning, cluster log analysis
Responsibilities:
Execute data analysis tasks guided by the architect and lead. (cluster/process log analysis, code profiling, metrics gathering).
Analyze Hive, Spark, Kafka, HBase, spark streaming processes for identifying performance improvement opportunities
Recommended optimizations for data storage, HBase, HDFS.
Assist with migration impact analysis and data transfer tasks (if applicable).
Qualifications :
6 to 9 years' experience with Cloudera stack (Spark, NiFi, Hive, HBase, Kafka, Spark Streaming).
Proven experience in doing performance improvement on hive, spark jobs.
Ability to evaluate existing jobs with critical mindset to find areas of improvement.
Strong Scala/Python programming skills for data engineering.
Team-oriented, able to work effectively under the guidance of senior team members.
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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