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Data Engineer

4 months ago

Merrimack, United States JobRialto Full time
The Role

As a Senior Data Engineer on the Data team, you'll get the opportunity to develop your skills and collaborate across

Client teams in a fun and dynamic environment. You will work closely with our architects to build secure, scalable solutions for operational, reporting and analytical data needs.

Using AWS services and python, you'll help design, implement and maintain data structures, batch jobs, interfaces to external systems and create data services. You'll be responsible for data analysis, modeling, loading and transformations.

You will coordinate builds using continuous integration pipelines and prepare for deployment to AWS using containers.

The Value You Deliver

Consistently making culture choices that positively impact all of engineering. Engineering excellence is a collective set of choices we make as technologists, whether to increase code coverage or ship a product, investing in developer productivity vs saving $$$.

You do not compromise for the sake of social acceptance and demonstrate conviction and drive to operate in highly ambiguous situations thriving in uncertainty while keeping your eyes on the long-term vision.

Drive technical discussions, arbitrate and recommend optimal path forward in a room of highly opinionated engineers that may or may not agree with you.

Use your experience and knowledge to influence better software design, promote proper software engineering and bug prevention strategies, testability and security

Actively participate in the development process through writing and maintain application features and automated tests including unit tests, component tests, integration tests, functional tests,

Support the team in maintaining CI/CD pipelines

Collaborate with team members on improving team's test coverage, release velocity and production health

Participate in application code and test code reviews with rest of the Scrum team

Contribute to own entire features from concept to deployment working on multi-functional activities

Contribute ideas to improve our products as well as develop your skills, learn new technologies and languages, and continue to learn

The Expertise and Skills You Bring

Bachelor's degree in computer science or related field

5+ years of experience building data engineering pipelines/solutions using modern programming languages

Strong and proven building data pipelines in python

Strong SQL knowledge and work experience with relational databases such as Oracle, PostgreSQL, Snowflake.

Experience in implementing BI tools and report development

Experience implementing data solutions in AWS/on prem data centers using ETL tools, queues, batch scheduling services and various storage solutions

Background in data analysis and data modeling

You have expertise in Migrating data using Lamda, Kafka and python services

You have expertise in Integrating Amazon Aurora PostgreSQL , Snowflake with other AWS services

You a proficient with Best practices with Amazon Aurora PostgreSQL and Snowflake

Data quality mind set and knowledge of techniques to ensure data quality

Ability to build reliable software that can withstand unreliable environments

Experience building unit and integration tests

Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins, etc.

Experience supporting and working with cross-functional teams in a dynamic environment

Passionate and open to learning new tools and developing with the latest technologies and frameworks

Solid analytical, communication, and organizational skills

Education: Bachelors Degree

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