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Azure Databricks Engineer

icon building Company : Altamira.ai
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Azure Databricks Engineer

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’re looking for a Databricks Engineer. Join our team and work on interesting data-driven projects.

Responsibilities



  • Design and develop data objects and data processing jobs in the Azure Data Platform

  • Design and implement E2E analytics solutions using Palantir Foundry Platform, including:

  • Various types of data sources and data connections

  • Scalable data transformation pipelines in PySpark

  • Optimize and automate data processing jobs and transformation pipelines through reviewing of logs and query plan, partitioning and code simplification

  • Ensure data quality, security (access concept) and governance across the whole flow of data & analytics solution

  • Collaborate with cross-functional teams and stakeholders to understand and translate business requirements into technical specifications and actionable plans, ensuring successful delivery

  • Troubleshoot and resolve functional and technical data issues for stakeholders, actively contributing to shared goals and supporting peers in solving technical and analytical challenges


Requirements



  • 5+ years of professional experience in data engineering roles

  • Strong hands-on experience with data transformation jobs/pipelines and complex data & analytics solution

  • Expertise in Python/PySpark and experience with distributed computing frameworks like Spark

  • Proficiency/advanced in SQL

  • Proficiency with Git

  • Experience with cloud platforms (Azure, AWS), specifically Azure Databricks and Palantir Foundry is a significant advantage

  • Proven ability to work across business and technical teams, supporting requirement definition and solution design

  • Agile mindset and practical experience with Scrum or other agile frameworks, Azure DevOps is a plus

  • Strong team player with excellent communication skills, proactive mindset, and a collaborative approach

  • Bonus: knowledge of REST API or Power BI

 Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:



  1. Recruiting Interview -> 30-45 min

  2. Technical Interview -> 1-1,5h

  3. Client Interview (optional) -> up to 1h

  4. Pre-Offer Call -> 15min

  5. Reference Check

  6. Offer


We offer:



  • Competitive salary, room for development and growth.

  • Possibility to work in the Bratislava and Kyiv offices or fully remotely.

  • Loyal management, interesting tasks, constant support.

  • Medical insurance (optional).

  • English courses.

  • Technical equipment providing.

  • Paid vacations 20 workdays, paid sick leave, regular salary reviews;

  • Flexible schedule and ability to manage your working hours;

  • Support your personal growth and skills upgrading.

  • The great environment inside the team, support of initiatives, and ability to contribute to the common goal.


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

Original job Azure Databricks Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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About the Company

Altamira.ai

Altamira is ISO certified software development company and bring more than 13 years of experience applying the world’s leading practices.

Read more about the company

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