Senior Data Engineer Job Specification

Ed_Hodgskiss

This job specification highlights the core activities and skills essential for Senior Data Engineers working with the Quantexa Platform.

We recommend Senior Data Engineers have at least four years of industry experience as a Data Engineer or in an equivalent role.

For senior data engineers working with the Quantexa Platform, the tools, responsibilities, and expertise recommended to meet industry standards are outlined.

For hiring managers, it serves as a framework for defining role requirements when recruiting candidates with Quantexa experience.

Important Note: These guidelines are for reference only, and companies may have additional or specific expectations for roles.

Day-to-Day Activities

• Writing efficient, fault-tolerant, production-level code for your deployment.
• Building and managing end-to-end data pipelines.
• Collaborating to develop and implement solutions for complex challenges.
• Advising colleagues on technical concepts and translating them into actionable insights for decision-making.

Recommended Hard Skills

• Proficiency in programming languages, particularly Scala, Java, Python, or similar.
• Experience in building and deploying production-level data processing systems.
• Experience with modern development tools and processes (e.g., Git, Gradle, Nexus) and automation/DevOps technologies (e.g., Jenkins, Docker, Bash scripting).
• Knowledge of cloud platforms (Google Cloud, Azure, AWS) and big data technologies (Spark, Hadoop, Elasticsearch).
• Understanding of testing frameworks and the ability to write unit and integration tests using libraries like ScalaTest.

Recommended Soft Skills

• Problem-solving mindset with the ability to tackle complex challenges.
• Strong communication skills for articulating technical concepts.
• Adaptability to work in rapidly changing client environments.
• Experience supporting or mentoring junior members within a team.

Read more about Senior Data Engineers.