Data Solutions Engineer Job in Meredith Corp

I. Job Description Summary

• The Data Solutions Engineer is the BI team member responsible for managing and optimizing our data strategy, ETL, automation, and evolution across multiple platforms. The DS engineer will support Meredith data initiatives and ensure optimal data delivery architecture
• We are looking for a skilled data engineer, learned in multiple computing languages, who is passionate about the constant evolution of data management and processing.

II. Essential Job Functions

• Collaborate with BI, Data Science and Analytics teams to set-up scalable data pipelines
• Data design for onboarding new data sources and plan integration with existing data sets
• Lead data ingestion and management of newly onboarded data
• Recommend and implement mechanism to improve data reliability and quality
• Team lead for all process, operations, and data documentation

III. Minimum Qualifications & Job Requirements

Education:

Bachelor s degree and Formal training in Computer Sciences, Business Intelligence, Data Analysis, Analytics, (Machine Learning and Quantitative fields a plus i.e. Statistics, Mathematics, Accounting)

Experience:

• Minimum 4 years experience in implementing and managing ETL flows and data pipelines
• Experience working in AWS, GCP, Snowflake, Elastic Search, Jupyter Notebook, Rest API, Web Scraping.
• AWS Developer Certification is a big plus.
• Strong Python/SQL experience
• Experience managing large data sets and container deployment
• Experience in project management and confluence Experience working in JIRA
• Ideal candidate will be data-oriented, ultra responsive, and demonstrate passion for data analysis via computing languages