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Snowflake Data EngineerCiti • New York, New York, United States
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Snowflake Data Engineer

Citi
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Snowflake Data Engineer
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Job Req Id:
26963341 Location(s):
Pune, Maharashtra, India Job Type:
On-Site/Resident Posted:
May. 20, 2026 Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview
Job Description: Data Analyst & AWS Engineer (Snowflake Focus) Job Title:
Data Analyst & Engineer Experience Level:
3-5 Years Location:
Pune Job Summary We are seeking a highly analytical and technically skilled Data Analyst & Engineer with a primary focus on Snowflake and data analytics. In this role, you will be the bridge between our data infrastructure and our business intelligence needs. You will leverage your deep expertise in Snowflake to model, transform, and analyze complex datasets, providing the critical insights that drive our business forward. While your core strength will be in data analysis and Snowflake, you will use your secondary skills in AWS and modern data orchestration tools to help build and maintain the pipelines that feed our analytics platform. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, and data models within Snowflake to support analytical requirements. Perform in-depth
data analysis
to identify trends, patterns, and insights that address key business questions. Ensure data integrity, quality, and accuracy within the Snowflake environment. Support the data engineering team by contributing to the design and maintenance of data pipelines using tools like
MWAA, AWS EKS
and
AWS Lambda . Work within a modern data stack, utilizing
Terraform
for infrastructure and
EKS
for containerized applications where necessary. Required Qualifications & Skills Primary Skillset (Core Requirements) Snowflake:
3+ years of deep, hands-on experience with the Snowflake Data Cloud. This includes:
Advanced SQL and query performance tuning.
Data Analysis & Analytics:
Proven experience in performing quantitative and qualitative data analysis. Strong ability to translate raw data into actionable business insights.
Secondary Skillset (Supporting Technologies) AWS:
Solid understanding of core AWS services, particularly:
S3:
For data lake storage and integration with Snowflake. AWS Lambda:
For serverless data processing tasks.
Workflow Orchestration:
Experience with building and scheduling data pipelines using
MWAA (Managed Workflows for Apache Airflow)
or a similar tool. Containerization:
Familiarity with Docker and Kubernetes ( EKS ) is a plus, for deploying data-related applications. Infrastructure as Code (IaC):
Experience with
Terraform
is highly desirable. Programming:
Proficiency in Python for scripting and data manipulation. ------------------------------------------------------ Job Family Group:
Technology
------------------------------------------------------ Job Family:
Applications Development
------------------------------------------------------ Time Type:
Full time
------------------------------------------------------ Most Relevant Skills
Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
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  • New York, New York, United States

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