MDM Senior Data Engineer

Data Engineering

Roles & Responsibilities

• Develop the MDM backend solutions and implement ETL and Data Engineering pipelines using

  Databricks, AWS, Python/PySpark, SQL

  , etc.
• Lead the implementation and optimization of

  MDM solutions

  using

  Informatica

  or

  Reltio

  platforms.
• Perform

  data profiling

  and identify necessary

  Data Quality (DQ)

  rules.
• Define and drive

  enterprise-wide MDM architecture

  , including

  IDQ

  , data stewardship, and metadata workflows.
• Manage

  cloud-based infrastructure

  using

  AWS

  and

  Databricks

  to ensure scalability and performance.
• Ensure

  data integrity, lineage, and traceability

  across MDM pipelines and solutions.
• Provide

  mentorship and technical leadership

  to junior team members and ensure project delivery timelines.
• Support

  custom UI team integration

  with backend data using APIs or other methods to improve the data stewardship user experience.

Basic Qualifications and Experience

• Master's degree

  with

  4 6 years

  of experience in Business, Engineering, IT or related field

• Bachelor's degree

  with

  6 9 years

  of experience in Business, Engineering, IT or related field

• Diploma

  with

  10 12 years

  of experience in Business, Engineering, IT or related field

Functional Skills

Must-Have Skills

• Strong understanding and

  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

  (e.g.,

  Informatica

  ,

  Reltio

  ) and

  data quality frameworks

  (e.g.,

  IDQ

  )
• Knowledge of

  customer master data

  (e.g.,

  HCP, HCO

  )
• Experience with

  data modeling, governance

  , and

  DCR lifecycle management

• Ability to implement

  end-to-end integrations

  , including

  API-based

  ,

  batch

  , and

  flat file-based

  integrations
• Strong experience with

  external data enrichments

  (e.g.,

  Dun & Bradstreet - D&B

  )
• Expertise in

  match/merge

  logic and

  survivorship rule

  implementations
• Strong understanding of

  reference data

  and its integration with MDM
• Experience with

  custom workflows

  ,

  data pipelines

  , or

  orchestration tools

Good-to-Have Skills

• Experience with

  Tableau

  or

  Power BI

  for reporting MDM insights
• Exposure to

  Data Science

  and

  GenAI

  capabilities
• Experience with

  Agile practices

  and tools (e.g.,

  JIRA

  ,

  Confluence

  )
• Prior experience in

  Pharma/Life Sciences

  domain
• Understanding of

  compliance and regulatory considerations

  in master data

Professional Certifications

• MDM Certification (e.g.,

  Informatica

  ,

  Reltio

  )

• Databricks Certification

  (Data Engineer or Architect)
• Any

  cloud certification

  (

  AWS

  or

  Azure

  )