19 Sep
|
Quantiphi
|
Bengaluru
19 Sep
Quantiphi
Bengaluru
Job Description
Job Description
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Role: Senior Data Engineer (Informatica or Reltio)
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Experience Level: 3 to 5 Years
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Work location: Mumbai, Bangalore & Trivandrum
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Role & Responsibilities
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- Design and develop enterprise Master Data Management (MDM) solutions using Profisee, with experience in Informatica MDM or Reltio as an alternative.
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- Develop scalable data ingestion, integration, transformation, and publishing pipelines for master data.
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- Implement data cleansing, standardization, validation, matching, deduplication, and survivorship rules to create trusted Golden Records.
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- Design and implement Golden Record/Golden Entity, hierarchy, and relationship management solutions.
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- Integrate MDM platforms with databases, APIs, data lakes, data warehouses, and downstream applications.
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- Develop and maintain ETL/ELT pipelines using technologies such as Azure Data Factory, Databricks/Spark, or equivalent tools.
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- Implement incremental/CDC processing, error handling, reconciliation, and data quality checks.
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- Analyze and troubleshoot complex data integration, MDM, and data quality issues in production environments.
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- Collaborate with Data Architects, Data Governance teams, Business stakeholders, and application teams to understand requirements and design effective MDM solutions.
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- Define and maintain data mappings, transformation rules, business rules, data models, and technical documentation.
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- Ensure solutions follow enterprise standards for data quality, security, governance, metadata, and lineage.
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- Participate in solution design, code reviews, testing, deployment, and production support.
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- Provide technical guidance and mentor junior data engineers and contribute to continuous improvement of MDM and data engineering practices.
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Skills expectation:
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- 3+ years of hands-on Data Engineering experience with strong experience in enterprise data integration and Master Data Management.
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- Hands-on experience with Profisee MDM is highly preferred.
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- Strong understanding of MDM concepts including:
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- Golden Record / Golden Entity
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- Matching & Deduplication
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- Survivorship
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- Data Quality & Standardization
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- Hierarchy Management
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- Reference Data
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- Entity Resolution
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- Data Governance
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- Strong SQL skills and experience with relational databases.
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- Strong programming skills in Python and/or PySpark.
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- Experience designing and developing ETL/ELT and data integration pipelines.
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- Experience with Azure Data Factory, Databricks/Spark, or equivalent data integration technologies.
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- Experience integrating MDM platforms with APIs, databases, data lakes, data warehouses, and downstream applications.
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- Understanding of data modeling, metadata, lineage, data quality, and governance.
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- Experience with incremental loads, CDC, data reconciliation, error handling, and production support.
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- Good understanding of Agile development methodologies.
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Good to Have:
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- Experience working with Healthcare or Insurance master data, such as Patient, Provider, Organization, Customer, Member, or Policy.
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- Experience with Azure, particularly ADLS Gen2, Synapse, Azure SQL, and ADF.
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- Experience with FHIR, HL7, or healthcare data standards.
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- Experience with Databricks, Snowflake, Kafka, or modern cloud data platforms.
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- Experience with data stewardship, governance, lineage, and data cataloging.
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- Experience in requirement gathering, solution design, technical documentation, and end-to-end project ownership.
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- Team mentoring and technical leadership experience.
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Behavioral Skills:
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- Communication: Excellent communication skills, capable of clearly articulating complex technical concepts and plans (including MDM strategies) to diverse audiences, including stakeholders, technical teams, and non-technical individuals.
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- Mentorship: Strong ability to mentor and guide junior team members, providing clear direction and a roadmap for their development in data engineering and MDM.
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- Collaboration: Proven ability to interact effectively with all team members (Juniors, Seniors, ATAs, TAs, BAs, etc.) to translate designs from concept to development, ensuring MDM principles are embedded.
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- Documentation: Skilled in writing transparent and concise reports, accessible to various audiences, including those without a deep technical background, especially for MDM solution designs and data governance policies.
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What's in it for you:
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- MDM Specialization: Become a subject matter expert in Master Data Management, gaining invaluable experience with a leading MDM platform (Profisee) and its application in complex healthcare environments.
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- Cloud Native Expertise: Gain invaluable hands-on experience with cloud-native services and learn how to leverage them to solve diverse business challenges, specifically in support of MDM initiatives.
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- Skill Enhancement: Opportunities for hands-on learning and advancement in Python, SQL, and other critical technologies, with a focus on data quality and MDM integration.
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- Sponsored Certifications: Access to sponsored certification opportunities for a wide range of courses (e.g., GCP, AWS, Azure, Tableau, Looker, MDM-related certifications).
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- Ownership & Impact: Beyond task completion, you will be empowered to own your work and take full responsibility for its end-to-end delivery, making a tangible impact on healthcare innovation by ensuring trusted, high-quality master data.
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📌 Senior Data Engineer (Informatica or Reltio) (Bengaluru)
🏢 Quantiphi
📍 Bengaluru