Location: Woodbury, MN
Company: Horizontal Talent
Senior Data Engineer, someone well-versed in data platforms such as Databricks or Snowflake, cloud environments (preferably azure) and and keen to lead this transformative journey as we look to enhance our capabilities to support our multi-brand, global organization that incorporates many different sources, velocities and volumes of data Responsibilities: 1.
Spearhead and evolve the design, execution and technology selection of our data platform to enable simple onramp and consumption of our data assets.2. Champion the transition to a data mesh culture, promoting domain-oriented design and decentralized data ownership.3. Lead initiatives to evolve our Data Operations/Observability, Discovery,
and Lineage practices, becoming a champion for data transparency and accuracy.4. Drive exploration and potential implementation of data lakehouse architectures, focusing on simplifying management and addressing core data concerns.5.
Be a advocate for the data plaform and a conduit with analytic engineers, analysts, bi developers.6. Mentor and nurture junior data engineers, guiding them towards best practices.7. Develop bespoke SQL-based data solutions, tailored for a decentralized data environment.8. Engage with cross-functional domain teams, ensuring their needs are central to our data strategies.9. Keep abreast of industry shifts and emerging technologies, ensuring our data platform
remains cutting-edge. Qualifications: 1. Bachelor's Degree in Computer Science, Engineering, or related experience.2.
5+ years of experience in a data engineering role, with history of implementing data platform modernization.3. Solid experience and understanding of architecting, designing, and operationalization of large-scale data and analytics solutions on Cloud Data Warehouses such as Snowflake, Databricks, Google Big Query, or AWS Redshift is a must.4. Experience with data integration, transformation and orchestration frameworks such as Airbyte, dbt, Fivetran, Segment or similar5. Experience with Microsoft data stack (azure sql, azure data factory, synapse, power bi)6.
Advanced proficiency in SQL and familiarity with domain-oriented data design.7. Expertise in programming languages such as Python, or Scala.8. Use of tools such as Git, Git Hub Actions, Agile, Jira and Confluence or similar9. Familiarity with BI tools such as Tableau, Power BI10. Demonstrable expertise in data observability, discovery, and lineage methodologies.11. Proven leadership capabilities and an evangelist for data mesh culture.12. Experience with AI and ML platforms is a bonus. Pando Logic. Keywords: Data Engineer, Location: WOODBURY, MN - 55129PDN-9a875b30-5a80-4e10-93d5-3e9372396422
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Engineering jobs encompass a broad range of professions that involve the application of science and mathematics to solve problems and design, construct, and maintain structures, devices, and systems. These jobs are characterized by creativity, analytical skills, and the pursuit of technological innovation. Engineers can specialize in various fields, such as civil, mechanical, electrical, software, or biomedical engineering, each with its distinctive focus and techniques. A hallmark of engineering roles is their impact on shaping our built environment and the way we interact with technology, making them crucial for the advancement and sustainability of modern societies.
