Senior Data Engineer - DevOps

About this kind of role

What a Senior Data Engineer - DevOps usually does. The employer's own details are in the listing.

Typically does: A Senior Data Engineer - DevOps role focuses on building, maintaining, and optimizing data pipelines and infrastructure, often with a strong emphasis on automation and continuous integration/continuous delivery (CI/CD). This involves designing scalable data architectures, implementing data quality checks, and collaborating with data scientists and software engineers. Responsibilities also include monitoring system performance, troubleshooting issues, and ensuring data security and compliance. The role bridges the gap between data engineering and operations.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (AWS, Azure, or GCP), data warehousing technologies (Snowflake, Redshift), ETL tools, and DevOps practices, including containerization (Docker, Kubernetes) and infrastructure-as-code is generally expected.

Good fit for: Individuals with a strong analytical mindset, a passion for automation, and a desire to build robust and reliable data systems thrive in this role.