Anteriad - Data Engineer
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Requirements
• Hands‑on experience building or supporting pipelines in Azure Data Factory. • Azure Data Factory. • Experience developing data transformations in Databricks, preferably using SQL within notebooks. • Databricks • Experience working with Azure Data Lake Storage or similar cloud storage platforms. • Azure Data Lake Storage • Familiarity with modern data lake and analytics concepts, including medallion architecture. • Experience with SQL Server, including writing, maintaining, and understanding complex SQL scripts and stored procedures. • SQL Server • Experience using Git / Azure DevOps for source control. • Git / Azure DevOps • Experience with Python for use in Databricks notebooks and supporting data pipeline operations. • Python • Databricks • Ability to follow established architectural patterns and implementation standards. • Strong analytical, troubleshooting, and communication skills. • Exposure to Microsoft Fabric, including Lakehouse, Warehousing, or OneLake concepts. • Microsoft Fabric • Lakehouse, Warehousing, • OneLake • Experience integrating or evaluating Fabric alongside existing Azure and Databricks ecosystems. • Fabric • Azure • Databricks • Experience migrating SQL Server workloads from Azure VMs to Azure‑native or Fabric‑based platforms. • Azure VMs • Azure • native • Fabric • based • Prior exposure to SSIS and translating ETL logic into cloud‑based pipelines. • Familiarity with data governance and data hygiene best practices, supporting clean, consistent, and trustworthy data for downstream use. • Our Values: • Lead & Learn We lead with unrivaled vision, innovation and execution, always learning and embracing new ways of doing things to stay out in front • Lead & Learn • Collaborate & Celebrate We build great things when we work together as one Anteriad team, celebrating our achievements – both great and small – along the way • Collaborate & Celebrate • Innovate & Inspire We are always looking for bold new ways to exceed the expectations of our customers and to inspire each other to even greater success • Innovate & Inspire • Do More & Do Good We go above and beyond in the service of our clients and colleagues, and the communities where we live • Do More & Do Good • Notice to California Applicants: We collect and process personal information as described in our California Applicant Privacy Notice, in compliance with the California Consumer Privacy Act (CCPA/CPRA). Please review the notice here: Anteriad Privacy Policy • Notice to California Applicants:
Responsibilities
• on experience using Azure data tools as well as SQL Server experience. • Each custom data platform is actively maintained and enhanced over time to support new and evolving requests from campaign services and analytics teams. You must be comfortable working on ongoing, parallel initiatives, balancing modernization work with continuous delivery of incremental enhancements. • Anteriad means “always moving forward” and we apply that to our company culture by tirelessly promoting an environment that allows our employees to thrive: • Flexible PTO & Company Holidays • Flexible Schedule • Continuous Professional Training and Development • Mix Of Collaborative & Independent Work • Professional Global Mentoring Program - Career Guidance From Leadership • Great Benefits For You And Your Family
Benefits
• Comprehensive medical (choice of 3 plans), dental and vision coverage • Company paid short-term disability, long term disability and life Insurance • Optional supplemental life, accident and critical illness insurance plans • 401K with company match • Flexible PTO and generous holiday schedule • Fully paid primary caregiver leave (12 weeks) & parental bonding leave (2 weeks) • What You’ll Do: • What You’ll Do: • Build and maintain data ingestion pipelines using Azure Data Factory (ADF) to move data into the corporate Azure Data Lake and related platforms. • Develop and enhance data transformation logic in Databricks notebooks, primarily leveraging SQL‑based transformations in existing SQL scripts and stored procedures. • Support a medallion data architecture (Bronze, Silver, Gold) with Silver and Gold datasets stored primarily in Parquet format. • Assist in migrating SQL Server–based processes (scripts, stored procedures, SSIS logic) running on Azure VMs into Azure‑native pipelines and Databricks transformations. • Continuously update and enhance existing database solutions and systems based on new and evolving requirements from marketing campaign activation and analytics teams, ensuring data remains accurate, timely, and fit for purpose. • Manage multiple concurrent initiatives, including modernization efforts and ongoing enhancement requests, while maintaining platform stability and data quality. • Configure Azure Data Factory pipelines to orchestrate Databricks notebooks and Fabric‑related processes as applicable. • Use Azure DevOps for source control, versioning, and deployment of Azure Data Factory, Databricks, and Fabric assets. • Test, monitor, and troubleshoot pipelines to ensure data reliability, performance, and quality. • Collaborate with senior engineers, project managers, campaign services, analytics, and platform teams to deliver ongoing data solutions. Participate in the adoption and use of Microsoft Fabric, understanding how Fabric components (e.g., OneLake, Lakehouse, Warehousing) integrate with existing Azure and Databricks workflows. • Maintain technical documentation for data pipelines, transformations, and datasets • What You’ll Bring: • What You’ll Bring:
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