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Data Engineer

2 months ago

Boston, United States VDart Inc Full time
Job DescriptionJob Description

Data Engineer

Boston, MA

Onsite

6+ Months

Job Description:

  • Some of the key qualifications we are looking for:
  • Have hands-on experience with writing Stored Procedures
  • Have experience working with Azure cloud platform
  • Have experience working with ADF and ETL pipelines
  • Understand and worked with dimensional modeling (Star and/or Snowflake)
  • Can connect the technical work with business needs and requirements
  • Have a strong analytical mind and able to independently solve problems
  • Excellent interpersonal and communication skills
  • Have exposure to PowerBI dashboards and SSRS reports.

Job Opportunity: As a Data Engineer, you will be part of a cross-functional, largely autonomous data engineering team. You should have excellent problem-solving skills, strong attention to detail, and the technical know-how to independently build solutions from start to finish. We are looking for a true expert on ETL development / data modeling, who is comfortable working with datasets of varying latencies and size sourcing data from various disparate data providers and platforms.

Duties & Responsibilities:

  • Collaborate closely with application engineers, data analysts, data engineers, and stakeholders in building and maintaining Berxi data warehouse to support the operations and analysis of a direct-to-consumer small commercial insurance business.
  • Contribute to the development, maintenance, and evolution of our platform.
  • Deeply involved with working on SQL Server, developing Kimball dimensional modeling-based data marts & build new models or data marts and supporting data analyst teams in further assessing available data.
  • Play a significant part in augmenting the data platform as we implement a new policy administration system data into Azure cloud-based data platform leveraging all the latest tools available anchoring on Azure resources.

Qualifications, Skills, and Experience:

  • 2+ years of hands-on data engineering experience with ETL processing, data modeling and Business Intelligence.
  • Relevant Work Experience with Microsoft SQL Server (2016+), SQL Server Integration Services (SSIS), ETL and Transact-SQL.
  • Experience with Microsoft Azure cloud platform and Azure resources.
  • Familiarity with data engineering concepts, languages, and tools; ability to develop on multiple platforms.
  • Experience using sophisticated data transformation tools and cleansing methods, such as windowing functions in Transact-SQL.
  • Experience with relational modeling, star schemas and Kimball Data Warehousing.
  • Experience with contemporary data file formats such as JSON and unstructured data.
  • Familiarity modeling for BI visualization tools such as Power BI / SSRS.
  • Familiarity with Spark SQL / C# / Python is a plus.
  • Experience with NoSQL/Non-relational databases are a plus, especially blob storage and Azure file tables.
  • Experience with Agile data engineering concepts and processes, such as CICD, pipelines, backlog tracking, burndown metrics, and incremental delivery a plus
  • Solid collaboration, prioritization, and adaptability skills required.
  • Excellent interpersonal and communication skills.
  • Proactive and self-driven, demonstrated initiative and be a logical thinker.