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Senior Data Engineer

1 month ago
Philippines
Full-time
Senior
Data Engineer
Software Development
Java Microsoft Dynamics 365 Power BI Python Scala SQL SQL Server
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Boldr

Boldr

Boldr specializes in building global teams through ethical talent outsourcing, connecting businesses with skilled professionals while prioritizing social sustainability and performance.

Professional Services
251-1K
Founded 2016
View All Jobs 8

Description

  • Lead the design, development, and optimization of ETL and data pipelines across multiple platforms.
  • Define and implement best practices for data integration, transformation, quality, security, and governance.
  • Manage data migrations, archival processes, and integrations across systems and databases.
  • Create and maintain advanced dashboards, visualizations, and analytical models to support business decision-making.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Implement and configure platform components and new features for new and existing clients.
  • Build and maintain unified data models across disparate data sources.
  • Engage with customers to gather requirements, prioritize technical requests, and provide hands-on implementation support.
  • Troubleshoot technical issues and improve system performance and reliability.
  • Develop automated solutions, maintain documentation, and build internal knowledge bases.
  • Mentor team members and support their technical growth.
  • Work with Product and Engineering teams to provide feedback that improves the platform and customer experience.

Requirements

  • BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management, or a similar field.
  • 3+ years of experience in a technical role involving large data sets, such as ETL, data warehousing, analytics, or data science.
  • 6+ years of experience in a client-facing role serving as a point of contact for technical and non-technical users.
  • Extensive experience with SQL Server, ETL/data pipelines, and data engineering in hybrid on-premise/cloud environments.
  • Hands-on experience designing and operating data solutions within Microsoft Fabric, including Lakehouse, Data Pipelines, or Data Engineering workloads.
  • Proficiency with scripting or programming languages for data processing, such as Python and SQL scripts.
  • Proficiency in Power BI, including data modeling, DAX, and advanced dashboard design.
  • Knowledge of data governance, quality, security, and compliance best practices.
  • Strong analytical, problem-solving, and communication skills.
  • Nice to have: Working knowledge of Java and/or Scala, marketing technology industry and vendor knowledge, Dynamics 365/Dataverse integration experience, large-scale pipeline optimization experience, BI strategy and metadata management exposure, and experience leading technical initiatives.

Interested in this position?

Apply directly on the company website

Apply Now

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