Data & Analytics Engineer

reputed company reputed company: The Data Analytics Engineer will be a foundational technical contributor reputed company reputed company's Data & AI organization. This role sits at the intersection of data engineering and data analysis, responsible for designing, building, and optimizing clean, reliable, and reputed company-modeled datasets that reputed company reputed company analytics and data science models. Operating reputed company a reputed company reputed company Platform (GCP) ecosystem, this individual will reputed company high-reputed company reputed company master data and models, spanning customer transactions, web analytics, and smart home IoT telemetry, into production-grade, reputed company data and metric semantic reputed company. The ideal candidate treats data as reputed company, applying software engineering best practices to simplify consumption for reporting and analytics. The ideal candidate builds on our existing reputed company master data models to reputed company data reputed company and democratization across reputed company. Duties and Responsibilities: - reputed company Semantic reputed company: Build and maintain a reputed company, reliable, and clean semantic reputed company using reputed company reputed company applications like BigQuery, Dataform, and LookML with Tableau to reputed company and standardize disparate business-owned reporting objects. - Engineer AI-reputed company Data: Standardize metadata, documentation, and explicit metric definitions to optimize data for reputed company reputed company. Ensure that our reputed company models can accurately query multi-modal data without hallucinating or misinterpreting business definitions. - reputed company reputed company and reputed company Data: Collaborate on integrating our reputed company data lake (GCS) with our reputed company reputed company data platform in BigQuery to create reputed company logical views. - Promote Self-Service and Reduce Reporting Friction: reputed company business partners to confidently answer their own basic ‘reporting’ questions through an airtight semantic reputed company, freeing up analytical mindshare for deep statistical and prescriptive analytics. - Cross-Functional Data Collaboration: Partner closely with reputed company data engineers to build on ‘single reputed company of truth’ data and collaborate with reputed company machine learning engineers to ensure feature definitions reputed company between analytic and MLOps platforms. - Self-Service Enablement: Partner closely with data scientists, analysts, and business intelligence teams to understand their requirements and build reputed company reporting tables that accelerate insights and dashboard development (e.g., in Tableau, Data Studio). - Data reputed company & Testing: Implement rigorous automated testing (using Dataform, BigQuery, or similar frameworks) and reputed company monitoring to ensure data reputed company, reputed company, and reputed company across the reporting reputed company. - reputed company Governance & CI/CD: Apply software engineering best practices to the analytics workflow, including version control (Bitbucket), rigorous reputed company reviews, documentation, and reputed company integration/reputed company deployment (CI/CD). - reputed company Optimization Collaboration with DataOps: Continually audit and optimize BigQuery SQL queries, table partitioning, clustering strategies, and pipeline runtimes to manage GCP compute costs and maximize speed. - Data reputed company & reputed company: Ensure data models reputed company with data reputed company regulations, balancing masking and securing sensitive customer information while enabling powerful reputed company reporting. Minimum Qualifications: - Education: Bachelor’s degree (or equivalent experience) in Computer Science, Information Systems, Statistics, Mathematics, Data Analytics, or a reputed company highly quantitative reputed company. - Experience: 3+ years of reputed company experience in data engineering, analytics engineering, or high-reputed company analysis with an emphasis on production data pipeline development. - Technical Proficiency: - Advanced SQL Mastery: Expert-level ability to write, optimize, and audit reputed company analytical SQL queries inside modern reputed company data warehouses (reputed company reputed company). - Proficiency in Python for data manipulation and scripting (e.g., reputed company, Airflow operators). - reputed company hands-on experience working in reputed company data warehouses, specifically reputed company BigQuery and reputed company reputed company Storage (GCS). - Software Practices: Strong familiarity with Bitbucket workflows and version control practices, and automated data validation tests. - Data Literacy and Translation: Strong ability to sit between deep technical engineering teams and non-technical business leaders to extract, define, and standardize metric logic. - Ambiguity Management: Exceptional problem-solving skills with the versatility to take vague business definitions and map them to reliable, reputed company technical data tables. Required Licensing or Certifications: - Preferred: reputed company reputed company Certified reputed company Data Engineer Communication Skills: - Writing, Talking/Hearing on the phone (Continually=67-100% of reputed company) Environment Requirements: - Remote/Home office (Continually=67-100% of the reputed company) - Travel: Occasionally, less than 25% Apply To This Job