We are seeking a Data Engineer to join our Data Science, Reporting Analytics organization. This role is responsible for designing, building, and operating scalable data pipelines and data platforms that enable analytics, reporting, and data-driven decision-making across the enterprise. The ideal candidate brings strong technical fundamentals, a cooperative mindset, and a focus on data quality, reliability, and performance in complex enterprise environments, with hands-on experience in Master DataManagement (MDM).

Key Responsibilities

- Data Pipeline Development Design, build, and maintain reliable ETL/ELT pipelines using Snowflake, Informatica (including MDM), SSIS, and cloud-native services on AWS and/or Azure. Ensure pipelines are scalable, resilient, and optimized for performance and cost.
- Data Integration, MDM Modeling Integrate data from multiple transactional systems into curated, analytics-ready data models. Support and enhance Informatica MDM solutions, including entity resolution, survivorship rules, hierarchies, and reference data. Apply data modeling best practices to support reporting, dashboards, and downstream analytical use cases.
- Platform Monitoring Optimization Monitor pipeline execution, data volumes, and latency; proactively identify and resolve performance issues. Recommend and implement improvements to data architecture, orchestration,



and event-driven pipelines.
- Documentation Operational Support Maintain clear and accurate technical documentation for pipelines, data models, and MDM configurations. Provide operational support for data platforms, including incident troubleshooting and root-cause analysis.

Skills Qualifications
- 35 years of experience in data engineering or a related role.
- 23 years of hands-on experience with Informatica MDM, including data modeling, match/merge rules, and survivorship configurations.
- Strong proficiency in SQL with experience in Snowflake, SQL Server, and/or Postgres.
- Experience working with cloud platforms (AWS and/or Azure)
- Solid understanding of data warehousing, data modeling, and performance tuning concepts.
- Experience with monitoring, logging, and diagnostic reporting for data pipelines and MDM jobs.
- Strong problem-solving skills with clear written and verbal communication abilities.

Preferred Experience
- Experience working with transactional source systems and complex data domains (e.g., customer,user, organization, product).
- Exposure to analytics, BI, or machine learning workflows that consume curated or MDM-driven datasets.
- Prior experience in ed-tech or large-scale enterprise data environments is a plus.

📌 Data Engineer (Mumbai)
🏢 HMH Technology Private
📍 Mumbai