Our company only succeeds when its people do - and that’s more than some cliche people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
If you are passionate about data, architecture, software development, and analytics with first-hand experience with on-premises and cloud data warehousing, data integration, API development, and analytics using modern methods, collaboration, and creativity we are interested in talking to you!
Our company is seeking a Data Engineer to join our agile team in developing our next generation data solutions. Our data platform includes a modern customer data platform, cloud data lake and cloud data warehousing, modern data governance capabilities, and advanced analytics on the cloud. The ideal candidate will have experience developing data lakes, data warehousing, data ingestion, API development, de-duplicating and cleansing customer data, DevSecOps, advanced analytics, and ML Ops.
The Work Itself
Design, build and enhance Data Cloud workflows/pipelines to process billions of records in large-scale data environments with experience in end-to-end design and development of near-real time and batch data pipelines.Design and build Data Warehouse based on Data Vault (DV-2) style of data model Design and build Data Lake and big data analytic solutions on AWS using streaming and batch processes Develop test strategies, software testing frameworks, and test automation Champion a modern engineering culture and best practices-based software development Leverage DevSecOps techniques and have working experience with modern tools such as GitHub, Jira, Jenkins, Crucible, and build automation. Engage in application design and data modeling discussions; participate in developing and enforcing data security policies Drive delivery efficiency with automation and reusable components/solutions
The Skills You BringBachelor’s degree in information technology or related experience Minimum 5 years’ experience in field of data engineering involving analytics-focused data warehouse environments such as AWS, Snowflake, Hadoop, Oracle, etc. Minimum 2 years working experience in AWS utilizing services such as S3, AWS CLI, and DynamoDB Deep working knowledge of NoSQL, RDBMS, SQL, JSON, XML and ETL skills Extensive experience in data transformations, cleansing, and de-duplication Advanced knowledge of SQL (PSQL or TSQL) Experience developing data pipelines for both Cloud and Hybrid Cloud infrastructures Knowledge of python and other scripting languages is highly desirable Experience using modern ETL tools such as InfoSphere Datastage Cloud Pack, Apache NiFi, etc. Experience working in an Agile delivery environment Hands on experience building and using DevOps pipelines and automation Ability to work independently and drive solutions end to end leveraging various technologies to solve data problems and develop solutions Promote and enforce design and development standards and best practices Passionate about continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms Ability to research and assess open source technologies and components to recommend and integrate into the design and implementation Have a proven track record of customer satisfaction and delivery success and ability to establish and maintain appropriate relationships with business and IT stakeholders Ability to work in an advisory capacity to identify key technical business problems, develop and evaluate alternative solutions and make recommendations Extensive experience in all aspects of the software development life cycle