Data Engineer (Snowflake, Spark, AWS) - AVP

Posted 9 Days Ago
Be an Early Applicant
India
Senior level
Fintech
The Role
Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.
Summary Generated by Built In

The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. The individual will be working directly with product owners, customers and technologists to deliver data products/solutions in a collaborative and agile environment.

Job Summary:

We are seeking an experienced Data Engineer to join our team, responsible for designing, building, and maintaining large-scale data systems on Snowflake on AWS. The ideal candidate will have expertise in Snowflake, Spark, and various AWS services, including S3, Lambda, EKS, Glue, and Terraform (IaaC).

Key Responsibilities:

Design, develop, and maintain data pipelines using Snowflake, Spark, and AWS services

Architect and implement data warehousing solutions using Snowflake

Develop and deploy Spark applications for data processing and analytics

Utilize AWS services such as S3, Lambda, EKS, and Glue for data storage, processing, and orchestration

Implement infrastructure as code using Terraform for AWS resource management

Collaborate with data architect to understand data requirements and deliver data solutions

Ensure data quality, security, and compliance with organizational standards

Requirements:

8+ years of experience in data engineering

Strong expertise in Snowflake, Spark, and AWS services (S3, Lambda, EKS, Glue)

Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.

Experience with Terraform (IaaC) for infrastructure management

Proficiency in programming languages such as Python, Scala, or Java

Experience with data warehousing, ETL, and data pipelines

Strong understanding of data modeling, data governance, and data quality

Excellent problem-solving skills and attention to detail

Bachelor's degree in Engineering

Nice to Have:

Experience with cloud-based data platforms and tools

Knowledge of containerization using Docker

Familiarity with Agile development methodologies

Certification in AWS or Snowflake

Education:

  • Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

Top Skills

Java
Python
Scala
The Company
HQ: New York, NY
223,850 Employees
Hybrid Workplace

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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