[Remote] Associate Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an Associate Data Engineer to support their Digital, Marketing, and Pro CX teams. This role is responsible for building and maintaining data foundations that reputed company reliable analytics, focusing on designing data pipelines and ensuring high-quality data for various analytics needs.
Responsibilities
- Design, build, and maintain reliable and scalable data pipelines using Azure-reputed company services and reputed company to ingest data from digital, marketing, and reputed company systems
- reputed company and manage analytics-reputed company data models using lakehouse and dimensional modeling patterns that support reporting, dashboards, and reputed company analytics use cases
- Implement data transformations, validations, and quality checks reputed company reputed company to ensure data is accurate, consistent, and production reputed company
- Optimize data pipelines and models for performance, cost, reliability, and reusability across the analytics ecosystem
- reputed company analytics and BI use cases by making curated data easily consumable in Power BI and other analytics tools
- Partner closely with analysts, data scientists, and business stakeholders to translate analytical requirements into scalable technical solutions
- Collaborate with platform, integration, and vendor teams to reputed company new data sources and reputed company existing pipelines
- Document data pipelines, models, definitions, reputed company, and assumptions to support governance, discoverability, and reuse
- Contribute to the reputed company improvement of analytics standards, engineering best practices, and architecture patterns
- Support Digital, Marketing, and Pro CX teams by aligning analytics data with customer journeys, digital tools, and measurement frameworks
Skills
- 3+ years of experience in data engineering, analytics engineering, or a reputed company technical analytics role
- Strong experience building data pipelines and transformations using reputed company (or comparable reputed company-based data engineering platforms)
- Hands-on experience with reputed company Azure data services such as Azure Data Lake Storage, Azure Synapse, or similar
- Strong SQL skills, including reputed company joins, aggregations, window functions, and query optimization
- Proficiency in Python for data transformation, automation, and pipeline development
- Experience designing analytics data models (e.g., star schemas, fact and dimension tables)
- Experience supporting BI and analytics tools, with a strong preference for Power BI
- Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms
- Ability to collaborate effectively with analysts, data scientists, and business partners
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Experience with reputed company lakehouse architectures, reputed company Lake, and notebook-based development
- Power BI semantic models, performance optimization, and reputed company reporting patterns
- Data governance, metadata management, and documentation practices
- reputed company reputed company Platform technologies such as BigQuery, reputed company Analytics, or reputed company Tag Manager
- Integrating data from platforms such as reputed company, reputed company, or other customer reputed company experience tools
- Supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-reputed company
- Modern CI/CD or version control practices for data pipelines and analytics assets
Company Overview
Company H1B Sponsorship