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Salary
$30k – $59k per year (Estimated)
Location
In office (Bengaluru, Thiruvananthapuram, Mumbai)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Quantiphi is an artificial intelligence and data engineering company founded in 2013 that builds applied machine learning systems for healthcare, financial services, retail, media and public sector clients. It works as a specialist partner to the major cloud providers, and its work spans document processing, computer vision, forecasting, conversational systems and the data platforms underneath them. Headquartered in Marlborough, Massachusetts with its largest engineering base in India, it employs several thousand people and competes with both the large systems integrators and smaller boutique data science firms.

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: 3to5Years

Work location: Mumbai, Bangalore & Trivandrum

Role & Responsibilities:

  • Design and develop enterprise Master Data Management (MDM) solutionsusing Profisee, with experience in Informatica MDM or Reltioas analternative.

  • Develop scalable data ingestion, integration, transformation, and publishing pipelinesfor master data.

  • Implement data cleansing, standardization, validation, matching, deduplication, and survivorshiprules to create trusted Golden Records.

  • Design and implement Golden Record/Golden Entity, hierarchy, and relationship managementsolutions.

  • Integrate MDM platforms with databases, APIs, data lakes, data warehouses, and downstream applications.

  • Develop and maintain ETL/ELT pipelinesusing 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 issuesin production environments.

  • Collaborate with Data Architects, Data Governance teams, Business stakeholders, and application teamsto 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 experiencewith 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 SQLskills 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!

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