Skill needed: SQL, Python.
Employer: Dynatrace
At Dynatrace, Data Engineering manages and transforms data into information for decisionmakers. This includes assessment, design, acquisition and/or implementation of tools, stores and pipelines for turning data into business value.We are seeking a Lead Software Engineer in Data who will provide key technical direction for and hands-on effort with a small team of data engineers supporting our Business Intelligence function. A core role will be directing and helping to implement transformative pipelines of business data into our Snowflake environment. The ideal candidate will have experience and demonstrable skill with in creating robust software infrastructure for data engineering applications, with expertise in Python, Snowflake, SQL and related technologies. The ideal candidate will have also demonstrated experience in mentoring and upskilling more junior members of the team.Lead the design, implementation, and maintenance of scalable data pipelines in the Snowflake eco-system including third party vendor tools such as AWS, Fivetran, etc.Key contributor to a Data Engineering strategy to ensure efficient data management for operations and enterprise analyticsKey technical expert for business stakeholder engagement on business data initiativesCollaboration with colleagues in Data Modeling, BI and Data Governance teams for platform initiativesProvide the technical interface to data engineering vendorsEnsure data engineering standards align with industry best practices for data governance, data quality, and data securityEvaluate and recommend new data technologies and tools to improve data engineering processes and outcomesWhat will help you succeedProven experience in a hands-on data engineering role, especially in relation to business operations dataExperience as a technical mentor for other data engineersBachelor’s degree in Computer Science, Information Systems or related field, or equivalent experienceExperience managing stakeholder engagement, collaborating across teams, and working on multiple simultaneous projectsA strong sense of curiosity, engagement in continuous learning and self improvement, and a knowledge of the trends in the data industryHands-on experience implementing robust, scalable data pipelinesExtensive experience acquiring data from REST APIsExperience in Python and software engineering, with the ability to write efficient, maintainable, and scalable data pipeline codeUnderstanding of testing and profiling in the context of data infrastructure, including unit testing, integration testing, profiling codeKnowledge of containerization/Docker, KubernetesSolid understanding of data warehousing, data lakes, MPP data platforms, and data processing frameworksStrong understanding of database technologies, including SQL and NoSQL databases.Experience with CI/CD pipelines and DevOps practices for data engineeringExcellent problem-solving and analytical skills.Snowflake certification or other relevant data engineering certification is a plusWhy you will love being a DynatracerDynatrace is a leader in unified observability and security.We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.Over 50% of the Fortune 100 companies are current customers of Dynatrace.