Miracle Software Systems, Inc · 3 hours ago
Sr. Power BI Analytics Engineer with GCP - Only on W2
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Responsibilities
Design, develop, and maintain scalable data pipelines.
Architect data models and transform complex data sets to drive business insights.
Work with large datasets from Adobe Analytics, integrating them with other data sources to create a unified view of customer behavior and preferences.
Build and maintain data models that transform raw data into clean, tested, and reusable datasets.
Contribute to the development and maintenance of Qlik and Power BI dashboards ensuring they are powered by accurate and timely data.
Design, develop, and maintain data transformation pipelines on GCP, handling complex business rules and high-volume data from various sources, including Adobe Analytics.
Build and maintain batch and real-time data pipelines using GCP services like Big Query, Dataflow, Cloud Functions, and Pub/Sub to support digital analytics needs.
Create DAX calculations and measures to support data analysis.
Develop and optimize ETL processes to ingest, transform, and load data from multiple sources into the data warehouse, ensuring data quality and consistency.
Collaborate with the analytics team to translate business requirements into actionable data models and pipelines that power reports, dashboards, and other analytical outputs.
Create and maintain comprehensive documentation for all data pipelines, ETL processes, and data models.
Implement and maintain data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability.
Stay up-to-date with the latest technologies and best practices in data engineering, particularly within the GCP ecosystem.
Qualification
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Required
5+ years of experience in analytics engineering, with a proven track record of building data models, data transformation and maintaining data pipelines.
Extensive experience with GCP services, including BigQuery, Dataflow, Cloud Storage, Cloud Functions, Pub/Sub, and Data Fusion.
Strong experience with Adobe Analytics data structures and APIs, including data extraction and processing.
Advanced SQL skills Major share of an analytics engineer’s duties will be creating logic for data transformations, writing lots of queries, and building data models, being an expert in SQL is a must.
Data Visualization tools experience with data visualization tools like Qlik, Power BI, is a must.
Strong understanding of data warehousing concepts and best practices.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a team in a fast-paced environment.
Experience with digital analytics data (Adobe clickstream, transaction, and OMS data).
Prior background in ecommerce analytics applications.
Familiarity with agile development methodologies.
Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, or business analytics.
Preferred
Master's Degree: Master's degree in a related field.
Industry Certifications: Adobe Analytics Certification and/or Alteryx Workflow Certified.
Experience with Specific Tools: QlikSense, Power BI, Alteryx, SQL, GCP, and Adobe Analytics.
Company
Miracle Software Systems, Inc
Miracle Software Systems is a global IT services company that has been consistently delivering true value for businesses for the past 29 years.
H1B Sponsorship
Miracle Software Systems, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2023 (115)
2022 (182)
2021 (149)
2020 (195)
Funding
Current Stage
Late StageCompany data provided by crunchbase