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Databricks Senior
Acest job nu mai este activ!Vezi toate job-urile SalesConsulting active.Vezi toate job-urile Databricks Senior active pe Hipo.roVezi toate job-urile in IT Software active pe Hipo.ro |
Angajator: | SalesConsulting |
Domeniu: |
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Tip job: | full-time |
Nivel job: | peste 5 ani experienta |
Orase: |
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Actualizat la: | 05.06.2024 |
Remote work: | Remote |
Sales Consulting activates on the HR market since 1998, having a national coverage in several areas of expertise: recruiting and selection assessment center HR market mapping/due diligence projects, personnel leasing, payroll.
Sales Consulting has 2 fully operational branches: Cluj-Napoca (also the head-office) and Bucharest.
We are developing various projects (Recruitment, Training and Consultancy) in some of the most varied type of industries:
- AUTOMOTIVE/PRODUCTION/ENGINEERING (Specialists and Middle & Top Management positions)
- OUTSOURCING (BPO/SSC/CC)
- IT & C (C++, C#, .NET, Java, Linux etc)
- FMCG (sales & purchasing positions; all levels)
- PHARMA (all levels)
The company is home to 2500+ creative technologists and is one of Eastern Europe's largest Software Product Engineering delivery networks. We serve global clients in several industries, including Banking & Financial Services, Insurance, Healthcare & Life Sciences, Communication Media & Technology, and Retail & MLEU (manufacturing, logistics, energy & utilities).
Our product thinking mindset defines, builds, and launches new, experience-centered software products that reinvent business.
The company was founded in the early 1990s to be the engineering partner for thriving Silicon Valley tech startups. The organization prides itself on its great culture and reputation for attracting and developing the best technical talent in Romania with end-to-end delivery expertise.
We are looking for exceptional Databricks Senior to work with our cross-functional team and join our world-class community of talented experts in Romania.
For this position you should be able to check the following:
Bachelor's degree in computer science or related field
5+ years of experience in a similar role; leading fellow data engineers within the data engineering area;
Extensive experience working in agile project environments;
Working experience with Python or PySpark is required;
Working experience and understanding of Azure Data-bricks, Azure Data Factory, Azure Data
Lake, Azure SQL DW, and Azure SQL is required;
Proven track record of leading development teams and delivering successful projects
The ability to apply such methods to solve business problems using one or more Azure Data and
Analytics services in combination with building data pipelines, data streams, and system integration.
Experience in driving new data engineering developments (e.g. applying new cutting-edge data engineering methods to improve the performance of data integration, using new tools to improve data quality and etc.).
Ability to design and architect distributed data systems
Certifications in Azure or Databricks are preferred.
Strong problem-solving and analytical skills.
A day in the life of a Databricks Architect:
Develop and provide solutions on Big Data;
Develop high-traffic, flawless data pipelines using Python, Cloud platform, and PySpark;
Participate in code and design reviews to ensure consistency in architecture and design/code practice;
Code with performance, scalability, and usability in mind;
Work on new tools in leading industry trends, with new and emerging technologies, prototypes, and engineering process improvements;
Migrate existing pipelines developed in ADF and python scripts from On-premise to Cloud using ADF and Databricks
Develop new pipelines using ADF for data extraction from multiple sources (MySQL databases, Oracle databases, CSV files) and Databricks (PySpark & SparkSQL) for curation, validation and applying required business transformation logic
Work on client projects to deliver Microsoft Azure based Data engineering & Analytics solutions
Engineer and implement scalable analytics solutions on Azure
Provide technical expertise on integrating Databricks with Azure and optimizing data processing workflows.
Employee Benefits:
Flexible Work Schedule - Outside of main work hours, you can create a schedule that suits your needs
Whether you like to work from home or go to the office, the choice is yours
Annual Vacation Days - 26 days to relax, explore and spend time with loved ones
Trainings, workshops, and certifications, unlimited Udemy subscription and more
Private medical package
Meal tickets
Referral bonuses
Life insurance
Banking services
Bookster
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