Req number:
R8079Employment type:
Full timeWorksite flexibility:
OnsiteWho we areCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for a motivated Snowflake Data Engineer ready to take us to the next level! If you have strong experience in designing, developing, and maintaining scalable data solutions using Snowflake and associated technologies and are looking for your next career move, apply now.Job Description
We are looking for a Snowflake Data Engineer to help build robust data pipelines, optimize data warehouse performance, and develop business-ready data models and marts. This position will be Full-time and Onsite – Gurugram.
What You’ll Do
Build and maintain scalable data pipelines and transformation layers within Snowflake
Design and develop Snowflake objects including tables, views, stages, tasks, streams, and stored procedures
Apply Snowflake best practices for warehouse sizing, clustering, caching, and query optimization
Ensure data quality, consistency, and availability across the warehouse layers
Support performance tuning and scalability improvements as data volumes grow
Design and develop ETL/ELT pipelines to ingest data from Oracle, PostgreSQL, and MySQL databases
Design, develop, and maintain ETL/ELT jobs and transformations using Pentaho Data Integration (PDI/Kettle) for loading data into Snowflake
Configure and manage AWS DMS tasks for Full Load and CDC-based data ingestion into Snowflake
Build ingestion pipelines for API-based sources including JSON parsing and semi-structured data processing
Handle ingestion from flat files and JSON files through Snowflake external stages and COPY commands
Monitor pipeline health, resolve replication lag, and maintain ingestion SLAs
Design data models using Star Schema and Fact/Dimension structures aligned to business reporting needs
Build and maintain business-ready data marts for consumption by Spotfire and downstream applications
Collaborate with analytics and BI teams to understand data requirements and deliver optimized datasets
Document data models, lineage, and mart structures for ongoing maintenance and onboarding
Use AWS S3 for staging raw data files as part of the ingestion workflow
Configure IAM roles and policies to manage access between AWS services and Snowflake
Use AWS Lambda for lightweight data transformation or pipeline trigger automation where applicable
What You'll Need
Required:
Proven 3-4 Yrs of experience in Snowflake development and optimization
Strong expertise in ETL/ELT pipeline design and development using Pentaho Data Integration (PDI/Kettle)
Hands-on experience with AWS DMS and AWS services including S3, Lambda, and IAM policies
Solid understanding of data modeling concepts including Star Schema and Fact/Dimension structures
Preferred:
Familiarity with Spotfire for BI and analytics
Experience with API-based data ingestion and JSON processing
Physical Demands
Ability to safely and successfully perform the essential job functions
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.
Skills Required
- 3-4 years of Snowflake development and optimization experience
- ETL/ELT pipeline design and development using Pentaho Data Integration (PDI/Kettle)
- Hands-on experience with AWS DMS for Full Load and CDC ingestion
- Experience with AWS services: S3, Lambda, and IAM policies
- Experience ingesting data from Oracle, PostgreSQL, and MySQL
- Solid understanding of data modeling: Star Schema and Fact/Dimension structures
- Familiarity with API-based data ingestion and JSON processing
- Familiarity with Spotfire for BI and analytics
CAI (cai.io). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CAI (cai.io). and has not been reviewed or approved by CAI (cai.io)..
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Retirement Support — Retirement contributions and an ownership component are highlighted as standout perks and positioned as a key strength of the package. This is framed as a notable differentiator within the overall offering.
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Wellbeing & Lifestyle Benefits — A wellness program that can reduce medical premiums, an Employee Assistance Program, and active employee resource groups are emphasized. A work-from-anywhere philosophy and flexible scheduling are also presented as quality-of-life benefits when client needs allow.
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Affordable Benefits — The primary medical setup is described as a high-deductible option with low premiums and an HSA contribution, which some view as cost-effective. Wellness participation is stated to further lower monthly premiums.
CAI (cai.io). Insights
What We Do
CAI is a global services firm with over 8,700 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what’s right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise
