Big Data Engineer - Python/Scala, Spark, Hadoop

WiproArlington, TX
Hybrid

About The Position

Wipro Limited 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. This role requires the ability to easily move between business, data management, and technical teams, quickly intuiting business use cases and identifying technical solutions. The position involves building robust and efficient data pipelines end-to-end with a strong focus on data quality, and experience in building and deploying production-level data-driven applications and data processing workflows/pipelines. It also includes implementing machine learning systems at scale in Java, Scala, or Python, and delivering analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting.

Requirements

  • Python/Scala, Spark, Hadoop
  • Hadoop Cloudera
  • 5-8 Years of experience

Nice To Haves

  • Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required

Responsibilities

  • Ability to easily move between business, data management, and technical teams
  • Ability to quickly intuit the business use case and identify technical solutions to enable it
  • Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
  • High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
  • Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines
  • Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

Benefits

  • Full range of medical and dental benefits options
  • Disability insurance
  • Paid time off (inclusive of sick leave)
  • Other paid and unpaid leave options
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