Senior Data Engineer - India -
quantiphi analytics private
📍 indiana ka bengaluru indiana kl trivandrum indiana mh mumbai eureka india🕐 5d ago🔗 workday
Job 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__!_