Senior Data Engineer - India - (Profisee)
Quantiphi Bengaluru, Karnataka, India
IT Services and IT Consulting · 1,001-5,000 employees
About the role
Design and develop enterprise Master Data Management solutions using Profisee, Informatica, or Reltio. Develop scalable data pipelines and implement data quality rules to ensure the creation of trusted Golden Records.
What they look for
Requirements
Requires 3 to 5 years of hands-on experience in data engineering and Master Data Management. Proficiency in SQL, Python, PySpark, and ETL/ELT tools is essential for this role.
Full description
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: Senior Data Engineer (Informatica or Reltio)
Experience Level: 3 to 5 Years
Work location: Mumbai, Bangalore & Trivandrum
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!
Similar roles
-
Data Engineer
Datavail Usa, Japan
-
Lead Data Engineer – Dashboards & Program Analytics
Nou Systems Inc Huntsville, Alabama, United States · $115K–$205K/yr
-
Data Engineer II (Library Systems)
Johns Hopkins University Baltimore, Maryland, United States · $102K–$179K/yr
-
AI Data Engineer - KDB
Barclays London, England, United Kingdom
-
Staff Data Engineer (L6) - Ads
Netflix Panama City, Panamá Province, Panama · $510K–$820K/yr
-
Data Engineer (DuckDB Required And W2 ONLY)
TEKsystems Dallas, Texas, United States · $115K–$135K/yr