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Data Engineer
IT Product based company
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Data Engineer

at IT Product based company

7 - 14 yrs
₹13L - ₹14.4L / yr
Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
Data engineering
data engineer
snowflakes
Snow flake schema
snow flake
SaaS

Job Title: Data Engineer


Location City: Gurugram


Industry: Research and Advisory Services


Role Overview


We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.


This role is hands-on and ownership-driven, with a strong focus on:


Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines


Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.


Key Responsibilities


Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including


 Salesforce (CRM)


 NetSuite (Finance)


 Marketing and RevOps tools such as Marketo, 6sense, Gong


 SharePoint (files, metadata, permissions)


Develop API-based Ingestion Frameworks Handling


 Authentication and authorization


 Pagination, rate limits, retries, and failures


 Incremental loads, soft deletes, and historical tracking


 Schema evolution and upstream source changes


ELT pipelines within Snowflake Write high-quality, optimized SQL for complex


transformations Build and manage data layers including raw, staged, and curated datasets


Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency



Models Including


 Fact and dimension tables


 Star and snowflake schemas


 Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness


 Support Snowflake Platform Foundations Including


 Warehouse and environment strategy (dev/test/prod)


 Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives


Maintain clear documentation for pipelines, data models, and data flows


Follow modern engineering practices including Git-based version control and CI/CD workflows


Education And Experience


Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.


7–10 years of hands-on experience in data engineering or similar roles


Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization


Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)


Advanced SQL skills and strong understanding of relational databases and data modeling


Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)


Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar


Strong problem-solving skills, ownership mindset, and attention to detail



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