Senior PySpark Data Engineer – Big Data & Streaming

Wipro Ltd.

Irving (TX)

Híbrido

USD 60.000 - 135.000

Jornada completa

hace 32 horas
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Ventajas ofrecidas por este puesto de trabajo

Medical benefits
Dental benefits
Disability insurance
Paid time off

Descripción de la vacante

Wipro Limited in Irving, TX is seeking a Data Engineer - PySpark to design and optimize PySpark pipelines in a Big Data environment. The role involves hands-on work with Hive, HDFS, Sqoop, Spark, Impala, and Scala, along with strong SQL and data modeling skills.

The position requires 5-8 years of experience and offers a compensation range of $60,000 to $135,000 with benefits. The role is located in Irving, TX with 3 days onsite per week, offering a hybrid model and a comprehensive set of medical

Formación

  • 5-8 years of experience in data engineering with PySpark
  • Experience building data pipelines in Hadoop ecosystem
  • Strong SQL writing and data modeling skills
  • Familiarity with distributed systems and data warehouse concepts
  • Experience with streaming data platforms and batch processing
  • Proficient in shell scripting and job scheduling (Autosys)
  • Experience with Hive, HDFS, Sqoop, Spark and Impala is preferred

Responsabilidades

  • Develop and maintain PySpark data pipelines in a Big Data environment
  • Work with Hadoop ecosystem tools (Hive, HDFS, Sqoop, Spark, Impala, Scala)
  • Write complex SQL queries and optimize data models
  • Ensure data quality, reliability, and performance of data processing jobs
  • Collaborate with data engineers, analysts, and stakeholders to deliver insights
  • Monitor and resolve data processing issues and bottlenecks
  • Communicate effectively with team members and stakeholders

Conocimientos

PySpark
Shell scripting
Autosys
SQL
Data modeling
Big data
Distributed systems
Streaming data platforms
Hive
HDFS
Sqoop
Spark
Impala
Scala

Herramientas

Hadoop
Hive
HDFS
Sqoop
Spark
Impala
Scala

Descripción del empleo

Wipro Limited in Irving, TX is seeking a Data Engineer - PySpark to design and optimize PySpark pipelines in a Big Data environment. The role involves hands-on work with Hive, HDFS, Sqoop, Spark, Impala, and Scala, along with strong SQL and data modeling skills.

The position requires 5-8 years of experience and offers a compensation range of $60,000 to $135,000 with benefits. The role is located in Irving, TX with 3 days onsite per week, offering a hybrid model and a comprehensive set of medical

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