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hace 2 meses
We are seeking a highly skilled Senior/Lead Data Engineer to join our team at Agileengine, Llc. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems to support our analytics and reporting needs.
Key Responsibilities- Data Modeling and Design
Develop and maintain data models (conceptual, logical, and physical) to support analytics and reporting needs. Collaborate with data architects and stakeholders to define data modeling standards and best practices.
Data Engineering and DevelopmentCreate and manage data dictionaries, ER diagrams, and schema designs that align with business requirements. 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.
Team Leadership and MentorshipDevelop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team.
Business Analysis and ReportingDevelop 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. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Standards and Best PracticesContribute 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.
User Experience and EducationManage 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.
Partnerships and CollaborationDevelop 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.
Requirements- Education
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.
ExperienceProven experience as a Data Engineer, with a focus on analytics and data modeling. 4+ years of experience in Data Warehouse Data Modeling techniques. 4+ years of experience (2+ with a graduate degree) in Analytics, Data Science, or Software Engineering, both as an individual contributor and managing teams; including expertise with descriptive statistical analysis and data transformation.
SkillsStrong proficiency in SQL and experience with data modeling tools. Knowledge of programming languages such as Python or Java. 4+ years of hands-on experience in crafting compelling data visualizations to inform business decisions. Experience with analytics software such as Looker, PowerBI, Tableau, or similar open-source tools. Expertise in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Experience with ETL/ELT processes and tools. 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.
