Azure MS BI Lead

Azure, databricks, "ADF", "data factory", synapse, blob, "data lake", MSBI, warehouse
Full Time
Depends on Experience
Work from home available

Job Description

Title: Data Engineering Lead Location: REMOTE Full-Time Employment with CLIENT
Looking for a dynamic and a technically strong individual to join our team as a Data Engineering Lead. Ideally, we prefer someone with insurance experience, but it is not a requirement. We are looking for someone who has ideally built Analytics infrastructure ( BI and Reporting) before. This role begins as 100% individual contributor along with managing the current team of 2 data engineers.
Responsibilities:

  • Works closely with business units and engineering team to develop short and long term data strategy
  • Design data integrations and data quality framework (data governance).
  • Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Communicates findings, solutions, and insights with non-technical stakeholders in a simple, precise, and clear manner.
  • Strategize and executes data engineering road map towards Cloud migration (Azure)
  • Manages legacy MSBI stack, performing maintenance and critical updates.
  • Plan, create, and manage Sprints ( have a good understanding of Agile methodologies)
  • Mentor and coach junior team members and help them solve technical challenges.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Qualifications:

  • 7-9 years of data technology experience of building data platforms and executing data projects using Microsoft BI and Azure technologies.
  • Solid understanding of database design concepts.
  • Proficient in writing queries in T SQL and stored procedures
  • Strong experience of storytelling and user-friendly dashboards using Power BI or other visualization tools.
  • Experience in Azure Databricks, Azure Data Factory, Synapse Analytics (workspace), Synapse SQL Warehouse (Formerly known as Azure SQL DW), Azure Data Lake and Azure blob storage.
  • In depth understanding and hands-on skills of tabular models using Azure Analysis Services.
  • Strong project management and organizational skills.
  • Proven hands-on experience in MSBI full stack (SSIS, SSRS, SSAS, T SQL)
  • BS or MS degree in Computer Science or a related technical field
Dice Id : 10106153
Position Id : 20-00116
Originally Posted : 1 month ago
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