Senior Data Engineer

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 day((s))

Skills

Azure
ETL
Informatica
Snowflake
Data Modeling
Data Analytics & Engineering
Python/Java

Job Details

It is a Hybrid role in Jersey City, NJ Need Locals to NJ
Job Description, Day to Day, Education, Certification, etc.:
Notes:

This role has 2 open positions. It is a long-term contract they need candidates to review ASAP. Please let me know directly if you have any questions. Working as part of an agile SCRUM team Building scalable and robust ETL data flows and databases using a range of technologies Exploring new technology trends and leveraging them to simplify our data ecosystem Identifying and resolving issues within the production and non-production environments Collaborating with internal and external teams to deliver technology solutions for the business needs Documenting & sharing technical solutions and diagrams
Designing and implementing solutions that align with the wider Fidelity technology strategy Qualifications Bachelor's / Master's degree or equivalent in Computer Science or Engineering
Strong problem-solving and data analysis skills within complex, distributed deployments
Extensive experience with Snowflake Knowledge of ETL and streaming technologies (Informatica, SnapLogic, Kafka, etc.) Experience in data modeling, advanced SQL, and performance tuning Experience in developing data applications in the cloud (AWS, Azure, Google Cloud) Development experience using Python/Java Practical experience with containerization and Kubernetes Comfortable working with standard CI/CD tools and pipelines (Jenkins, Artifactory, uDeploy, etc.) Any experience in AI/ML (ML fundamentals, AWS Sagemaker, etc.) and API development is a big plus.
Contract Description:

Working as part of an agile SCRUM team

Building scalable and robust ETL data flows and databases using a range of technologies

Exploring new technology trends and leveraging them to simplify our data ecosystem

Identifying and resolving issues within the production and non-production environments

Collaborating with internal and external teams to deliver technology solutions for the business needs

Documenting & sharing technical solutions and diagrams

Designing and implementing solutions that align with the wider Fidelity technology strategy
Qualifications:

Bachelor's / Master's degree or equivalent in Computer Science or Engineering

Strong problem-solving and data analysis skills within complex, distributed deployments

Extensive experience with Snowflake

Knowledge of ETL and streaming technologies (Informatica, SnapLogic, Kafka, etc.)

Experience in data modeling, advanced SQL, and performance tuning

Experience in developing data applications in the cloud (AWS, Azure, Google Cloud)

Development experience using Python/Java

Practical experience with containerization and Kubernetes

Comfortable working with standard CI/CD tools and pipelines (Jenkins, Artifactory, uDeploy, etc.)

Any experience in AI/ML (ML fundamentals, AWS Sagemaker, etc.) and API development is a big plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.