Company Name: VARITE India Private Limited

About The Client

Client is a global technology solution and services leader providing business-friendly solutions, that enable future-readiness for clients. We seamlessly bring together digital expertise, strong industry-specific alliances, and deep domain expertise from ITC Group businesses. Our solutions and services are focused on Banking and financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality.

ITC Infotech is a wholly-owned subsidiary of ITC Ltd, one of India’s most admired companies.

About The Job:

- Join our team of enthusiastic technologists as we build the future of a cloud-based intelligent integration platform

- This role is for a skilled Data Integration engineer with strong expertise Snowflake development. You will comprehend complex functional and technical issues and design solutions that align with business needs.

- You will work on cloud-native AI-driven integration systems, leveraging Snap logic to deliver enterprise-grade solutions.

Essential Job Functions:

- Design and develop the medium to complex ETL processes

- Code and unit test the independent modules

- Update the ETL mapping sheet and maintain the same

- Understand the requirements and able to think through the technical solution

- Able to work with the other team members

Qualifications

- Experience: 4 to 6 years

Required

- B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University.

- 4-7 years of relevant industry experience

Essential Skills

- 4-7 years of relevant experience in medium or large-scale data integration and data warehouse solutions.

- Hands on experience in Snowflake, Oracle PL/SQL, Control M

- Working experience of AWS services like S3, EC2, Cloud watch, Lambda, Fargate & Terraform and knowledge of other services

- Knowledge and preferably working experience of Snaplogic

- Well versed with Data analysis, Dimensional MoClienting, Data Warehousing and SDLC concepts.





- Understanding of Configuration / Release Management processes.

- Hands on experience in Dynamic SQL, creating packages, procedures and functions, proficient in writing queries.

- Good understanding of RDBMS concepts (preferably Oracle, Snowflake)

- Experience in Agile Delivery

Skills – nice to have:

- Experienced in DevOps

- Sound analytical & debugging skills.

- Understanding of the Finance domain, especially Investment management

- Creative and enthusiastic about technology and using it appropriately to solve problems

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years

INR 5,000

2-6 years

INR 7,500

6+ years

INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

📌 Senior Analyst Programmer (Gurugram)
🏢 VARITE
📍 Gurugram