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Data Engineer (Python)|Remote|4+Yrs

  • Matrix HR Technologies
  • Remote
  • 4 - 9 Yrs

Job Closed

Job Description

  • Experience: 4- 8 years.
  • Proficiency in Python and Pandas.
  • Understanding of RDBMS schema, data conversion processes, ETL processes, and data models.
  • Experience with core cloud data platforms like Snowflake and AWS.
  • Proficient in SQL, with the ability to write, debug, and optimize SQL queries.
  • Familiarity with Python packages such as Great Expectations is a plus.
  • Knowledge of Airflow and Kafka is advantageous.
  • Ability to develop and execute automated test frameworks for testing source-to-target mapping, data loading and extraction processes, data preprocessing, transformation, aggregation, various logics, integration from multiple sources, and data collection and distribution platforms.

Job Responsibilities

  • Ability to analyze test results and drive issue resolution.
  • Capable of independently managing at least one data process.
  • Experience in mentoring team members and ensuring project process adherence and delivery discipline.
  • Innovative mindset with the ability to suggest process and technology improvements to enhance productivity.
  • Proficient in discussing requirements with stakeholders to uncover gaps.

Location

Remote

About Company

Matrix HR Technologies is a 14-Year-old Private Limited Company founded by a group of seasoned and experienced professionals. We are always dedicated to the ethical practices, timely and successful delivery of agreed assignments which helps organizations to achieve their business goals. Our competencies cover a wide range of HR activities and initiatives. We work across all industry sectors, employing a simple yet effective approach to each by developing long term strategic partnerships across all areas of business. In addition to Talent Acquisition, we are also providing cloud/web-based Payroll Services, Labour Statutory Compliance and Book-Keeping, HR and Statutory Audits, Licensing and Registrations for business operations, HR Shared Services, etc. across India, Middle East and Malaysia.