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Senior/ Lead Azure Data Engineer

Austin, TX, US

We are looking for an enthusiastic and technology-proficient Azure Data Engineer, who is eager to participate in design and implementation of a top-notch Data solution to be deployed at massive scale. This role is onsite in Austin, TX.

Essential functions

  • Executes design sessions to gather requirements, review, approve, and communicate design artifacts with stakeholders
  • Architecting and managing various data models associated with Relational DBs (primarily Azure SQL and MS SQL Server); and optionally NoSQL DBs (primarily Azure CosmosDB)
  • Designing  and implementing performance data movement pipelines using Azure Data Factory (ADF) for near real-time data movements
  • Ensures database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability
  • Delivering  and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders
  • Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data
  • Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
  • Working with other members of the project team to support delivery of additional project components associated with cloud data platform
  • Problem solving application issues and production errors, including high level critical production issues that      require immediate attention
  • Perform other duties as assigned

Qualifications

Qualifications

  • Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related field preferred
  • 8-9 +  years of overall software development experience required
  • 3-4 +   years of hands-on development experience with Azure SQL database (Hyperscale/ Managed Instance)
  • 3 +  years of hands-on development experience building the data movement pipelines using Azure Data Factory(ADF)
  • Strong knowledge and experience in data modeling & design with relational and NoSQL DBs
  • Demonstrated expertise in performance tuning in various DB environments
  • Experience building and scaling distributed, highly available systems in cloud env (Azure/ AWS)
  • Expertise  in understanding complex business needs, analyzing, designing, and developing solutions
  • Communication and professional skills and the ability to establish relationships across  business units
  • Experience working in a Dev/Ops environment with tools such as Microsoft Visual Studio Team Services, Chef, Puppet or Terraform

Would be a plus

Azure cloud certification is desirable.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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