Data Engineer (Snowflake, Spark, AWS) - AVP

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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