Data Engineer - PySpark

Wipro•Irving, TX
•Hybrid

About The Position

Wipro Limited is a technology services and consulting company that develops solutions for clients’ digital transformation needs. The Data Engineer will work in a Big Data environment, using PySpark and data integration skills. The position is based in Irving, Texas, and requires onsite work three days per week. The role involves working with Big Data processing tools and the Hadoop ecosystem, distributed systems, data warehouses, streaming platforms, SQL, and data modeling. The expected compensation range is $60,000 to $135,000, with final compensation based on factors including location, applicable minimum wage obligations, skills, and relevant experience. The position is eligible for Wipro’s standard benefits, including medical and dental benefits options, disability insurance, paid time off inclusive of sick leave, and other paid and unpaid leave options. Employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Requirements

  • Strong programming skills in PySpark in a Big Data environment, with hands-on capability.
  • Familiarity with big data processing tools and techniques.
  • Experience with the Hadoop ecosystem, including Hive, HDFS, Sqoop, Spark, Impala, and Scala.
  • Well-versed in shell scripting and the Autosys scheduler.
  • Good understanding of distributed systems.
  • Familiarity with data warehouse concepts.
  • Experience with streaming data platforms.
  • Excellent analytical and problem-solving skills.
  • Experience writing complex SQL queries.
  • Knowledge of data modeling and data design.
  • Ability to work independently and resourcefully in addressing and resolving risks and issues.
  • Excellent communication and articulation skills.
  • Mandatory skills: Data Integration and PySpark.
  • 5–8 years of experience.

Responsibilities

  • Use PySpark in a Big Data environment.
  • Work with big data processing tools and techniques and the Hadoop ecosystem.
  • Write complex SQL queries.
  • Apply data warehouse concepts, data modeling, and data design.
  • Independently address risks and issues and resolve them in a timely manner.

Benefits

  • Medical and dental benefits options
  • Disability insurance
  • Paid time off, inclusive of sick leave
  • Other paid and unpaid leave options
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