Easter Seals Jobs

Description

Ring is looking for a Data Engineer with the passion to drive the execution and ongoing support of critical data services and furthering governance practices and analytics. If you are passionate about data and technology, eager to seek challenging and innovative opportunities, and motivated to deliver the best customer experience, then this role is the right fit for you.

Key job responsibilities

As a Data Engineer, you will play a crucial role in designing, building, and maintaining data ingestion pipelines, ETL processes, and data warehousing solutions. Your responsibilities will include extracting data from various sources, transforming and loading it into centralized data repositories, and ensuring data quality and integrity throughout the process. You will be responsible for creating scalable data models, optimizing data warehouse performance, and implementing efficient data processing workflows.

You will implement comprehensive data quality checks, validation rules, and monitoring mechanisms to maintain data reliability and provide visibility into data quality metrics. Automation and scripting will be essential aspects of your role, as you will develop and maintain scripts for data engineering tasks and contribute to the development of reusable components and libraries. Collaboration with business intelligence engineers, data scientists, and other stakeholders will be crucial to understand data requirements and align data engineering efforts with business objectives.

You will stay up-to-date with the latest tools, technologies, and best practices through continuous learning and professional development.

We are open to hiring candidates to work out of one of the following locations:

Gdansk, POL

Basic Qualifications

• Data engineering experience

• Experience with one or more query language (e.g., SQL, PL/SQL, SparkSQL, Scala)

• Experience with one or more scripting language (e.g., Python, Java)

• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets

• Experience with business intelligence tools (e.g. Tableau, QuickSite)

• Experience with data delivery process (e.g. collection, annotation)

Preferred Qualifications

• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics

• Knowledge of distributed systems as it pertains to data storage and computing

• Experience in building or administering reporting/analytics platforms

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.