Chief Data Organizer

4 days ago

Thoothukudi, Tamil Nadu, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description

About People Prime Worldwide is a global IT services company that specializes in digital engineering and IT services. With over 35,000 associates worldwide, we help clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation.

We are known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. Our operations span across more than 25 countries with delivery centers in Asia, Europe, and North America.

  • Key Skills: Data Engineer, Python, SQL, Spark

As a Data Engineer at our organization, you will be responsible for analyzing and organizing raw data, interpreting trends and patterns, and conducting complex data analysis and reporting on results.

  • Analyze and organize raw data
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Combine raw information from different sources
  • Enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Develops and maintains scalable data pipelines and builds out new API integrations to support increasing data volume and complexity.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making.
  • Implements processes and systems to monitor data quality, ensuring accurate production data is available for stakeholders and business processes.
  • Writes unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Works closely with frontend and backend engineers, product managers, and analysts.
  • Defines data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
  • Designs data integrations and data quality framework.
  • Designs and evaluates open source and vendor tools for data lineage.

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