Technical Lead Job Specification
This job specification highlights the core activities and skills essential for Technical Leads working with the Quantexa Platform. For technical leads 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 Leading and mentoring a team of junior data engineers within an agile framework. Writing efficient, fault-tolerant, production-level code for your deployment. Collaborating with Solution Architects to champion solutions and standards for complex big data challenges. Ensuring best practices are followed within the team. Advising colleagues on technical concepts and translating them into actionable insights for decision-making. Supporting development and operations by ensuring high-quality, operationally stable systems. Recommended Hard Skills Proficiency in programming languages, particularly Scala, Java, Python, or similar. 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). Experience in building and deploying production-level data processing systems with a focus on operational stability. Understanding of testing frameworks and the ability to write unit and integration tests using libraries like ScalaTest. Recommended Soft Skills Ability to lead, mentor, and support junior engineers and team members in a technical environment. Strong technical communication skills, especially for explaining complex technical concepts to non-technical stakeholders. Ability to work effectively with cross-functional teams.s. Capable of making decisions that improve the operational stability and efficiency of data systems. Read more about Technical LeadsSenior Data Engineer Job Specification
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.Data Engineer Job Specification
This job specification highlights the core activities and skills essential for Data Engineers working with the Quantexa Platform. For 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. Read more about Data Engineers.