Senior Azure Databricks Engineer

Reposted Yesterday
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27 Locations
Remote
Senior level
Consulting • Energy
The Role
Design, implement, and productionize Databricks and ADF data pipelines; develop and version data models; manage Azure cloud data infrastructure; execute schema and data migrations; optimize ETL performance and complex data flows; support DevOps practices and collaborate on testing and deployment. Power BI experience is a plus.
Summary Generated by Built In

Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our client’s growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time. 

Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma.

We are looking for a highly technical Senior Azure Databricks Engineer to take ownership of optimizing and productionizing Databricks workloads. 

About the Client
The client is a reinsurance company, primarily working with enterprise clients and supporting long-term collaboration within established teams.

Key Responsibilities:

- Design and implement data processes (e.g., ADF Pipelines, Databricks).

- Develop and version data models.

- Work with Azure cloud-based data infrastructures.

- Develop and execute schema and data migrations.

- Optimize ETL performance.

Requirements:

- Must-Have: Proficiency in Databricks, Delta Lake, Python, PowerShell, MS SQL Server, and T-SQL.

- Azure Stack: Strong knowledge of Azure Data Factory, Azure Data Lake, and Cosmos DB.

- DevOps: Experience with Azure DevOps, Git, Visual Studio, testing, and optimizing complex data flows.

- Data Modeling: Solid understanding of data warehouse and transactional modeling concepts.

- Should-Have: Experience with Power BI.

We respect your time and keep our process clear and human. From the first “hello” to the offer usually takes up to 2 weeks:

  • A short recruiting call (30 min) 
  • A technical conversation with our experts (1 hour) 
  • Client interview (if needed, up to 1 hour) 
  • Reference check 
  • Offer and welcome on board 

* Please note that the process may occasionally vary depending on the role or specific project needs.

Why join altamira.ai

  • You get fair, competitive pay and real opportunities to grow. 
  • Fully remote - no commuting, no office constraints.
  • We don’t do micromanagement - we do trust, ownership, and support. 
  • We provide all the tech equipment you need. 
  • 20 working days of paid vacation, paid sick leave, public holidays, and regular salary reviews. 
  • A flexible schedule to keep your work-life balance sane. 
  • Space to learn, experiment, and bring your ideas to life. 

We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients! ❤️

Skills Required

  • Proficiency in Databricks
  • Delta Lake
  • Python
  • PowerShell
  • MS SQL Server
  • T-SQL
  • Azure Data Factory
  • Azure Data Lake
  • Cosmos DB
  • Azure DevOps
  • Git and Visual Studio (DevOps/tooling experience)
  • Data warehouse and transactional data modeling concepts
  • Power BI
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The Company
HQ: Mc Lean, VA
64 Employees

What We Do

Altamira is your trusted partner in consulting, engineering, and field service support. The combination of our owner’s mentality, commitment to hearing your needs and concerns, and delivering with our proven processes help ensure project success. With our regulatory expertise and agile approach, we create working relationships that value compliance and deliver desirable outcomes that bolster your bottom line.

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