Senior Data Engineer (Machine Learning Enablement)


ByteBridge Technologies, Inc
Dice Job Match Score™
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Job Details
Skills
- Amazon Web Services
- Code Review
- Customer Relationship Management (CRM)
- Data Migration
- Data Science
- Machine Learning (ML)
- Google Cloud Platform
Summary
- Onboard and align external retailer and third-party datasets into a medallion architecture (bronze, silver, gold).
- Profile retailer feeds to define partitioning strategies and address data gaps via imputation, mapping, or source blending.
- Define and validate join keys against product, outlet, and customer dimension tables, resolving unmatched or duplicate keys.
- Build and tune ETL/ELT data pipelines using Azure Data Factory, Azure Databricks, Azure Functions, and Synapse.
- Execute large-scale data migrations—including multi-terabyte transactional volumes—with minimal to zero downtime.
- Establish enterprise data quality controls, governance frameworks, and feature-ready models for recurring business cycles.
- Partner with Data Science/ML teams to productionize models and maintain clear documentation and version control in GitHub.
- Data Engineering Lead/Architect Experience: 7+ years building and managing production data platforms.
- Azure Cloud Stack: 7+ years of hands-on experience with Azure Data Factory, Databricks, Functions, and Synapse.
- Python & SQL: 7+ years of strong experience using PySpark or pandas for large-scale data transformation.
- Architecture & Modeling: 7+ years of practical application of medallion architecture, dimensional modeling, and master data joins.
- Multi-Cloud Experience: AWS or Google Cloud Platform knowledge.
- CRM Integration: Hands-on Salesforce integration (data sync, APIs, or migrations).
- Domain Knowledge: Consumer goods or retail datasets (POS, syndicated data).
- Machine Learning: Experience supporting ML feature pipelines and model productionization.
- Design, build, and optimize scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, Functions, and Synapse.
- Profile and onboard external third-party/retail datasets into a medallion architecture (bronze, silver, gold) aligned with master dimension tables.
- Execute large-scale data migrations and refactor complex semi-structured source data (e.g., XML) into analysis-ready structures.
- Establish enterprise-wide data governance frameworks, quality controls, and feature-ready models to support recurring business cycles.
- Partner with Data Science teams to productionize ML models while enforcing Git code review and documentation standards.
- Dice Id: 91173256
- Position Id: 9111730
- Posted 14 hours ago
Company Info
Bytebridge Technologies is a forward-thinking IT consulting and software development company committed to bridging the gap between innovation and business success. Our expertise lies in delivering cutting-edge solutions across software development, cloud services, automation, artificial intelligence, and IT infrastructure management.
At Bytebridge Technologies, we believe technology should empower businesses to achieve greater efficiency, scalability, and growth. Our team of seasoned professionals works closely with clients to understand their unique challenges and craft customized solutions that drive measurable results.
With a focus on quality, reliability, and innovation, we serve diverse industries, including finance, healthcare, retail, and more. Whether you're seeking to modernize legacy systems, automate workflows, or build future-ready applications, Bytebridge Technologies is your trusted partner on the digital transformation journey.


