Senior Master Data Engineer

2 days ago

Hyderabad, Telangana, India beBeeData Full time ₹ 60,00,000 - ₹ 1,20,00,000

About the Role

We are seeking a skilled Data Engineer to join our team and contribute to the success of our Master Data Management (MDM) solutions. As a key member of our data engineering team, you will be responsible for analyzing and managing customer master data using Reltio or Informatica MDM solutions.

You will perform advanced SQL queries and data analysis to validate and ensure master data integrity. In addition, you will leverage Python, PySpark, and Databricks for scalable data processing and automation, collaborate with business and data engineering teams for continuous improvement in MDM solutions, and implement data stewardship processes and workflows.

You will utilize AWS cloud services for data storage and compute processes related to MDM, contribute to metadata and data modeling activities, track and manage data issues using tools such as JIRA, and document processes in Confluence.

In this role, you will apply Life Sciences/Pharma industry context to ensure data standards and compliance. Your analytical abilities and problem-solving skills will enable you to assess and improve master data processes and solutions, ensuring seamless integration with our existing infrastructure.

What We Are Looking For

  • A Master's degree with 1-3 years of experience in Business, Engineering, IT or related field OR Bachelor's degree with 2-5 years of experience in Business, Engineering, IT or related field OR Diploma with 6-8 years of experience in Business, Engineering, IT or related field
  • Functional Skills: Advanced SQL expertise and data wrangling, Strong experience in Python and PySpark for data transformation workflows, Strong experience with Databricks and AWS architecture, Knowledge of MDM, data governance, stewardship, and profiling practices
  • Good-to-Have Skills: Experience with IDQ, data modeling and approval workflow/DCR, Background in Life Sciences/Pharma industries, Familiarity with project tools like JIRA and Confluence, Strong grip on data engineering concepts
  • Professional Certifications: Any ETL certification (e.g. Informatica), Any Data Analysis certification (SQL, Python, Databricks), Any cloud certification (AWS or AZURE)
  • Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions, Excellent verbal and written communication skills, Effective problem-solving skills to address data-related issues and implement scalable solutions, Ability to work effectively with global, virtual teams

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