Senior Data Analytics Engineer

WorkWave is a company focused on innovative solutions in AI and Data Analytics. They are seeking a Senior Data Analytics Engineer to take ownership of the data ecosystem, manage data pipelines, and support AI/ML initiatives while collaborating with cross-functional teams.

Responsibilities:

• Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack to prevent downtime before it impacts stakeholders
• Business-First Data Modeling: Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models that make self-service easy in platforms like PowerBI, Tableau, and Sigma
• Documentation & Governance: Maintain comprehensive documentation of all data engineering processes to enable stakeholder self-service, following the industry’s best practices
• Infrastructure Development: Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows
• Performance Tuning: Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring queries are efficient and scalable
• Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems
• Bridge the Gap: Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements
• Support AI/ML: Create models that specifically enhance Analytics and AI/ML projects

Requirements:

• 5+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure
• Technical 'Ninja' Skills: Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI)
• Pipeline Architecture: Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT
• Business Intuition: Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders
• Visualization Proficiency: Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools
• Masters degree in engineering or analytics
• Cloud & Big Data: Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake
• Leadership: Proven experience in leading data engineering projects and integrating data from multiple sources
• Small Team Experience: You have worked in small teams driving innovative solutions and thrive in agile environments