Senior Data Engineer

Key Skills

Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, AWS, Azure, Data Biuld Tool - dbt, Data Modeling, ETL/ELT technologies, Git, Google Cloud Platform (GCP), Python Programming, Scrum Agile Methodology, Snowflake, SQL

Job Description

We are looking for an experienced and versatile Data Engineer to join our dynamic and fast-growing team. If you are passionate about data and solving complex problems, this role could be the perfect fit for 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:

• Working with our stakeholders to develop end-to-end Cloud-based solutions with a heavy focus on applications and data.
• Collaborate with BI/BA analysts, Data Scientists, Data Engineers, Product Managers, and other stakeholders across the organization.
• Ensure the delivery of reliable software and data pipelines using data engineering best practices, including secure automation, version control, continuous integration/delivery, and proper testing.
• Ownership of the product will significantly influence on our strategy by helping define the next wave of data insights and system architecture.
• A commitment to teamwork and excellent business and interpersonal skills are essential.
• You will be an essential part of our growing analytics and data insights team, and be responsible for our technological and architectural vision.

Required Qualifications:

• 5 years of experience and hands-on practical experience in data integration, engineering, and technological analytics.
• A degree in Science, Technology, Engineering, or Mathematics Related Discipline.
• Excellent skills in; SQL, Python, and distributed source control such as GIT in an Agile-Scrum environment.
• Experience with ETL pipelines and Airflow.
• Experience within a Cloud environment (GCP, AWS, Azure).
• Has a strong understanding of dimensional modeling and data warehousing methodologies.
• Can identify ways to improve data quality And reliability.
• Can use data to discover different tasks for automation.
• Is aligned with the latest data trends and ways to simplify data insights.
• Is passionate about data and the insights that large amounts of data sets can provide
• Experience within the retail industry is a plus.

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office. We pride ourselves on the growth of our employees, offering extensive learning and development resources.