*** Must be a US Citizen or Green Card only Applicant****
The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house transactional databases to a Data Warehouse to enable actionable business insights. The data in the Warehouse will serve as a foundation for Reporting Machine Learning Analysis and Generative AI. The ideal candidate will be a strong technical resource with effective communication and leadership skills to be a member of data engineering team. The role requires collaboration with cross functional teams and ability to play multiple roles depending upon the situation. The ideal candidate should have strong bias for action able to dig into details when requirements are fuzzy and have a passion to push forward to progress. If you are an ambitious technologist who is looking to grow and who is passionate about building worldclass products and technology we encourage you to apply for this exciting opportunity. What Youll Do
Implementation of data ingestion pipelines following the guidelines and best practices defined.
Implement data mapping data transformation automated testing and data validation.
Contribute and implement standards and best practices within the Data Engineering Team.
Write detailed stories sprint grooming and actively contribute in the Agile software development life cycle.
Accountable for Delivery and 100 uptime of the Environments.
Collaborate with crossfunctional teams including ecosystem leadership and data insights teams engineering sales and marketing to ensure all stakeholders are aligned.
Partner with scrum master daily to provide updates.
Partner with Data Insights team on a daily basis to stay aligned on priorities.
Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
Establish and maintain effective communication channels with internal and external stakeholders.
What Youll Need to Succeed
BS in Engineering Business Administration Statistics Business Analytics or applicable experience in related field
Minimum of 3 three years of SDLC experience in ETL/ELT environments with tools/technologies such as Fivetran dbt SQL AWS Redshift Boomi PowerBI Git.
Ability to work onsite at least two days a week in St. Louis MO.
Minimum of 2 years of experience in building out schemas for Analytical purposes.
Minimum 1 years of hands on experience AWS Cloud and Services such as AWS Glue AWS Lambda Python.
Familiar with ERP CRM products such as Salesforce NetSuite Hubspot and Eloqua.
Strong development background and expert level skillswith modern SDLC best practices.
Proven track record of delivering successful data initiatives.
Excellent communication and interpersonal skills with the ability to build strong relationships with internal and external stakeholders.
Strong analytical and problemsolving skills with the ability to make datadriven decisions.
Experience working in a fastpaced agile environment.
Ability to prioritize and manage multiple projects simultaneously.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.