MDM Data Engineer

MDM Senior Data Engineer

Roles & Responsibilities

• MDM & Data Engineering:

  Develop

  MDM

  backend solutions and implement

  ETL

  and Data Engineering pipelines using

  Databricks, AWS, Python/PySpark

  , and

  SQL

  . You will lead the implementation and optimization of

  MDM

  solutions on platforms like

  Informatica

  or

  Reltio

  .

• Data Quality & Governance:

  Perform data profiling and identify necessary Data Quality (

  DQ

  ) rules. You will define and drive the enterprise-wide

  MDM

  architecture, including

  IDQ

  , data stewardship, and metadata workflows.

• Technical Leadership & Mentorship:

  Provide mentorship and technical leadership to junior team members, ensuring project delivery timelines are met. You will help the custom

  UI

  team with integrations using

  APIs

  or other methods for a better user experience on data stewardship.

• Cloud & Integrations:

  Manage cloud-based infrastructure using

  AWS

  and

  Databricks

  to ensure scalability and performance. You must be able to implement end-to-end integrations, including

  API

  -based, Batch, and Flat file-based methods, and have strong experience with external data enrichments and match/merge rules.

Technical Skills

• Strong hands-on experience with

  Databricks

  and

  AWS

  cloud services.
• Proficiency in

  Python, PySpark, SQL

  , and

  Unix

  for data processing and orchestration.
• Deep knowledge of

  MDM

  tools (

  Informatica, Reltio

  ) and data quality frameworks (

  IDQ

  ).
• Knowledge of customer master data (

  HCP, HCO

  ).
• Experience with data modeling, governance, and

  DCR

  lifecycle management.
• Experience with

  Tableau

  or

  PowerBI

  for reporting

  MDM

  insights is a plus.
• Exposure to

  Data Science

  and

  GenAI

  capabilities is a plus.
• Certifications in

  MDM

  (

  e.g., Informatica, Reltio

  ),

  Databricks

  , or a cloud platform (

  AWS

  or

  Azure

  ) are preferred.

Qualifications

• A Master's degree, a Bachelor's degree, or a Diploma in Business, Engineering,

  IT

  , or a related field.
• Experience in

  Pharma/Life Sciences

  is a plus.
• Working knowledge of a

  SAFe

  development environment and Agile practices (

  JIRA, Confluence

  ) is a plus.

Soft Skills

• Problem-Solving:

  Strong analytical and effective problem-solving skills to address data-related issues and implement scalable solutions.

• Communication:

  Excellent verbal and written communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders.

• Collaboration:

  The ability to work effectively with global, virtual teams.

• Leadership:

  Strong leadership skills to provide mentorship and technical guidance.