Pyspark Developer

Valuelabs

Employer Active

Posted 8 hrs ago

Experience

6 - 10 Years

Education

Any Graduation()

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

ValueLabs is Hiring: Data Engineer PySpark | Cloudera Data Platform (CDP)


Location: Dubai
Experience: 5+ Years
Employment Type: Full-Time


About ValueLabs


ValueLabs is a global technology company committed to delivering innovative solutions and exceptional client experiences. We are expanding our data engineering team in Dubai and are looking for a skilled Data Engineer with strong expertise in PySpark and the Cloudera Data Platform (CDP).


Role Overview


As a Data Engineer, you will design and maintain scalable ETL pipelines, ensuring high data quality, performance, and reliability across our data ecosystem.


Key Responsibilities


  • Build and optimize ETL pipelines using PySpark on CDP
  • Ingest data from RDBMS, APIs, and file systems into data lakes/warehouses
  • Cleanse and transform large datasets to support analytics
  • Tune PySpark code and Cloudera components for performance
  • Implement data quality checks and validation routines
  • Automate workflows using Apache Oozie, Airflow, or similar tools
  • Monitor pipeline health and troubleshoot issues
  • Collaborate with cross-functional teams to meet data requirements
  • Document processes, code, and configurations

Required Qualifications


  • Bachelors/Masters in Computer Science, Data Engineering, or related field
  • Minimum 5 years of experience in Data Engineering roles

Technical Skills


  • PySpark (RDDs, DataFrames, optimization)
  • Cloudera Data Platform (Cloudera Manager, Hive, Impala, HDFS, HBase)
  • Data Warehousing & SQL (Hive, Impala)
  • Big Data Tools (Hadoop, Kafka)
  • Workflow Orchestration (Oozie, Airflow)
  • Linux scripting and automation


Soft Skills


  • Strong analytical and problem-solving abilities
  • Excellent communication skills
  • Team player with the ability to work independently
  • Detail-oriented with a focus on data accuracy


Department / Functional Area

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