Senior Data Engineer - India - (Profisee)

quantiphi; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Quantiphi is seeking a Senior Data Engineer (Informatica or Reltio) with 3–5 years of hands-on data engineering and MDM experience. The role focuses on designing scalable MDM solutions, implementing Golden Records, and building ETL/ELT pipelines across lakes, warehouses, and APIs.

Proficiency in Python/PySpark and SQL is essential, with Azure Data Factory and Databricks experience highly valued. The candidate will collaborate with data governance and architecture teams, mentor juniors, and

Qualifications

• 3+ years of hands-on Data Engineering experience with strong experience in enterprise data integration and Master Data Management.
• Hands-on experience with Profisee MDM is highly preferred.
• Strong understanding of MDM concepts including Golden Record / Golden Entity, Matching & Deduplication, Survivorship, Data Quality & Standardization, Hierarchy Management, Reference Data, Entity Resolution, Data Governance.
• Strong SQL skills and experience with relational databases.
• Strong programming skills in Python and/or PySpark.
• Experience designing and developing ETL/ELT and data integration pipelines.
• Experience with Azure Data Factory, Databricks/Spark, or equivalent data integration technologies.
• Experience integrating MDM platforms with APIs, databases, data lakes, data warehouses, and downstream applications.
• Understanding of data modeling, metadata, lineage, data quality, and governance.
• Experience with incremental loads, CDC, data reconciliation, error handling, and production support.
• Good understanding of Agile development methodologies.

Responsibilities

• Design and develop enterprise MDM solutions using Profisee, with Informatica MDM or Reltio as alternatives.
• Develop scalable data ingestion, integration, transformation, and publishing pipelines for master data.
• Implement data cleansing, standardization, validation, matching, deduplication, and survivorship rules to create trusted Golden Records.
• Design and implement Golden Record/Golden Entity, hierarchy, and relationship management solutions.
• Integrate MDM platforms with databases, APIs, data lakes, data warehouses, and downstream applications.
• Develop and maintain ETL/ELT pipelines using Azure Data Factory, Databricks/Spark, or equivalent tools.
• Implement incremental/CDC processing, error handling, reconciliation, and data quality checks.
• Analyze and troubleshoot complex data integration, MDM, and data quality issues in production environments.
• Collaborate with Data Architects, Data Governance teams, Business stakeholders, and application teams to understand requirements and design effective MDM solutions.
• Define and maintain data mappings, transformation rules, business rules, data models, and technical documentation.
• Ensure solutions follow enterprise standards for data quality, security, governance, metadata, and lineage.
• Participate in solution design, code reviews, testing, deployment, and production support.
• Provide technical guidance and mentor junior data engineers and contribute to continuous improvement of MDM and data engineering practices.

Skills

Data Engineering

MDM

Profisee MDM

Golden Record

Matching & Deduplication

Survivorship

Data Quality

Hierarchy Management

Reference Data

Entity Resolution

Data Governance

SQL

Python

PySpark

ETL/ELT

Azure Data Factory

Databricks

API Integration

Data Modeling

CDC

Agile

Tools

Profisee MDM

Azure Data Factory

Databricks

Job description

Role: Senior Data Engineer (Informatica or Reltio)

Experience Level: 3 to 5 Years

Work location: Mumbai, Bangalore & Trivandrum

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role & Responsibilities :

• Design and develop enterprise Master Data Management (MDM) solutions using Profisee , with experience in Informatica MDM or Reltio as an alternative.
• Develop scalable data ingestion, integration, transformation, and publishing pipelines for master data.
• Implement data cleansing, standardization, validation, matching, deduplication, and survivorship rules to create trusted Golden Records.
• Design and implement Golden Record/Golden Entity, hierarchy, and relationship management solutions.
• Integrate MDM platforms with databases, APIs, data lakes, data warehouses, and downstream applications .
• Develop and maintain ETL/ELT pipelines using technologies such as Azure Data Factory, Databricks/Spark, or equivalent tools.
• Implement incremental/CDC processing, error handling, reconciliation, and data quality checks .
• Analyze and troubleshoot complex data integration, MDM, and data quality issues in production environments.
• Collaborate with Data Architects, Data Governance teams, Business stakeholders, and application teams to understand requirements and design effective MDM solutions.
• Define and maintain data mappings, transformation rules, business rules, data models, and technical documentation .
• Ensure solutions follow enterprise standards for data quality, security, governance, metadata, and lineage .
• Participate in solution design, code reviews, testing, deployment, and production support .
• Provide technical guidance and mentor junior data engineers
  and contribute to continuous improvement of MDM and data engineering practices.

Skills expectation:

• 3+ years of hands-on Data Engineering experience with strong experience in enterprise data integration and Master Data Management.
• Hands-on experience with Profisee MDM is highly preferred.
• Strong understanding of MDM concepts including:
• Golden Record / Golden Entity
• Matching & Deduplication
• Survivorship
• Data Quality & Standardization
• Hierarchy Management
• Reference Data
• Entity Resolution
• Data Governance
• Strong SQL skills and experience with relational databases.
• Strong programming skills in Python and/or PySpark .
• Experience designing and developing ETL/ELT and data integration pipelines .
• Experience with Azure Data Factory, Databricks/Spark, or equivalent data integration technologies .
• Experience integrating MDM platforms with APIs, databases, data lakes, data warehouses, and downstream applications .
• Understanding of data modeling, metadata, lineage, data quality, and governance .
• Experience with incremental loads, CDC, data reconciliation, error handling, and production support .
• Good understanding of Agile development methodologies .

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !