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Senior Analytics Data Engineer
hace 2 meses
We are seeking a highly skilled Senior/Lead Analytics Data Engineer to join our team at AgileEngine. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems to support business analytics and reporting needs.
Key Responsibilities- Develop and maintain data models to support analytics and reporting needs;
- Create and manage data dictionaries, ER diagrams, and schema designs that align with business requirements;
- Collaborate with data architects and stakeholders to define data modeling standards and best practices;
- Utilize code (SQL, Python, etc.) and apply engineering, reporting, and visualization expertise to solve business problems;
- Develop scalable tools to drive automation and optimize business operations;
- Develop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team;
- Develop scalable systems to expand reporting capabilities, facilitate ad hoc analysis, and improve data-driven decision-making at all levels of the business;
- Work with large, complex data sets. Solve difficult data transformation problems with efficiency, applying advanced analytical methods as needed;
- Contribute to the establishment of standards for writing clean, organized code and documentation to streamline data and analytics workflow;
- Drive and promote a culture of testing, observability, and scalability with a data-driven mindset;
- Manage and continuously improve business user's experience with data and reporting, including KPI development, data visualization, and communication of applicable insights to audiences at varying levels of technical sophistication;
- Increase overall data literacy across ELC through education and advocacy;
- Develop partnerships with engineering, data science, and product teams to deliver on major cross-functional reporting, measurement, and testing efforts;
- Actively participate in ELC's diversity and inclusion agenda.
- BS/BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience;
- Proven experience as a Data Engineer, with a focus on analytics and data modeling;
- Strong proficiency in SQL and experience with data modeling tools;
- Knowledge of programming languages such as Python, Java or Scala;
- Expertise in Google Cloud Platform (GCP) services, including BigQuery;
- Experience with ETL/ELT processes and tools;
- 4+ years of hands-on experience in crafting compelling data visualizations to inform business decisions;
- 4+ years of experience in Data Warehouse Data Modeling techniques;
- Track record of delivering data-driven products and insights as well as influencing product and engineering decisions;
- Experience in analyzing, validating, and transforming large datasets;
- Familiarity with data governance, data quality, and data security best practices;
- Proficiency in deploying data-intensive solutions. Solid understanding of the software development lifecycle;
- Upper-intermediate English level.
- Experience with DataPlex – big plus;
- Experience with analytics software such as Looker, PowerBI, Tableau, or similar open-source tools.
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
We are a remote-friendly company, and this position is open for candidates in the whole country.
At AgileEngine, we value professional growth, competitive compensation, and a selection of exciting projects. We offer a flexible work environment, allowing you to tailor your schedule for an optimal work-life balance.
