Senior Data Engineer

Key Skills

Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, AWS, Data Biuld Tool - dbt, Data Lake, Data Modeling, MySQL, Oracle, Snowflake, SQL

Job Description

We are looking for an experienced and versatile Data Engineer to join our dynamic and fast-growing team. We are looking for an Experienced person who has hands-on with data modeling, data warehousing, and building ETL pipelines. If you are passionate about data and solving complex problems, this role could perfectly fit you!

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Description:

• Design, implement, and operate stable, scalable, low-cost solutions to flow data from production systems into the data lake and into end-user-facing applications.
• Design automated processes for in-depth analysis of databases.
• Design automated data control processes.
• Collaborate with the software development team to build and test the designed solutions.
• Learn, publish, analyze, and improve management information dashboards, operational business metrics decks, and key performance indicators.
• Improve tools, and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.
• Provide in-depth analysis to management with the support of accounting, finance, and transportation teams.
• Perform monthly variance analysis and identify risks & opportunities.
• Building data products incrementally and integrating and managing datasets from multiple sources

Qualifications:

• BS in Computer Science or related fields 
• 4+ years of experience as a Data Engineer
• 3+ years of Experience in SQL and Snowflake
• Good hands-on experience in Airflow and DBT
• Experience with AWS Tools and Technologies (Redshift, S3, EC2, Glue)
• Expertise with Data modeling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases
• Strong customer focus, ownership, urgency, and drive.
• Excellent communication skills and the ability to work well in a team.