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Our values – flexibility, innovation, integrity, inclusion and growth - drive how we treat our employees and these values in turn help our employees to create a
brighter future for themselves and our customers.

We are building Lateetud one brick at a time. Come join us to create a better tomorrow.

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Interested in joining
the Lateetud team? View More
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Why work with Lateetud?

Automate future

We focus on automation and as you may have realized by now that future is being automated. Be part of this revolution automate future.

Take charge

Your opinion matters – whether it is providing greater value to customers or creating a better Lateetud.

Make friends

We care about each other. We want you to come to work every day with gusto. We have created an environment for you to make friends for life.

Worry less

We take care of your medical, dental and vision insurance. There is one thing to worry less about.

Invest in your future

We encourage and support our employees to acquire knowledge, learn new technologies and acquire certifications. We hope your future is with us but more than this we hope that your future is bright.

Join the Team

We are always looking for bright and personable new members to join us at Lateetud. We have offices in Ashburn, VA, New Brunswick, Canada and Kolkata, India.

If you are interested in working with Lateetud, email your resume and a cover letter to careers@lateetud.com.

Engineers

  • 80% travel
  • Technologically inclined
  • .NET, SQL, C# preferred
  • Alternatively, ASP.NET and Java

Project Managers

  • 80% travel
  • Technologically inclined
  • .NET, SQL, C# preferred
  • Alternatively, ASP.NET and Java

Accounts Executives

  • Technical acumen
  • Technical project manager experience
  • Will be based in Ashburn, VA

Our Gallery

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Open positions

Senior Data Engineer

A minimum of 7 years of experience in Data Engineering on Microsoft cloud platform.(Basic MDM knowledge)

India (Remote)
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Responsibilities:

  • Largest radiology network is seeking strong data engineers to be part of data product development team. Consists of data engineers who can assist to translate business requirements into data products.
  • Create efficient data pipelines with reusability, work with product owners and stakeholders to design, develop, and implement data supply chains in enterprise data warehouse environment using Microsoft Azure, ADF, Python, Pyspark, Spark SQL and Databricks environment.
  • Ensure data quality, reliability of data, and orchestration of data pipelines, CI/CD implementation, performance and optimization of data pipelines to ensure efficiency.
  • Collaborate with cross-functional teams to integrate data sources and optimize data pipelines. Provide technical expertise and support for Azure Databricks-related projects.
  • Follow technical best practices and coding standards, job orchestration & monitoring, produce the mandatory artifacts.

Qualifications:

  • Bachelor's degree in computer science, information technology, or a related field.
  • Prior experience with data lakes and data warehouses, working knowledge with dimensional modelling is must.
  • Demonstrate advanced understanding in data engineering practices, Including ETL/ELT, data integrations, reusable data pipelines, data management methods.
  • Advanced Pyspark, Python, Spark SQL, Dimensional models, optimization in Azure data bricks skills required.
  • Ability to service various business stakeholders, internal and external partners to support data demands.
  • Health care experience is desired with a data-centric motive is a plus.
  • 7+ years of experience in data engineering with Azure data bricks ecosystem.
  • Strong knowledge of Azure data services, including ADF, Databricks, Delta Lake, delta live tables, Power BI, and Azure SQL Server.
  • Experience with data processing languages such as SQL, Python, Pyspark and Spark SQL.
  • Experience with agile methodologies on Azure DevOps and continuous integration/continuous delivery (CI/CD).
  • Strong problem-solving and analytical skills; excellent communication and collaboration skills.
  • Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively.
  • Ability to work independently and collaborate effectively in a team environment.
  • Proven experience with cloud platforms, Microsoft Azure, Databricks environment.
  • Seniority levelSenior
  • Employment typeFull Time
  • Job functionSenior Data Engineer
  • IndustriesIT
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