We are Adastra Digital
For more than 20 years, we support the biggest names in the business with cutting-edge digital solutions. Join us and help top companies make better-data-driven decisions.
Since 2000, Adastra has been helping global organizations accelerate innovation, improve operational excellence, and create an unforgettable customer experience, all by leveraging the power of their data.
By providing cutting-edge services and solutions, Adastra helps enterprises lean on data that they can control and trust, connecting them to their customers and their customers to the world.
Job description:
- You will be responsible for designing and implementing automated tools for collecting and transferring data from multiple source systems to Azure cloud platform. Our primary clients are international companies which generated large amount of data. Most of generated data are often processed on a daily basis, we help our customers to shift daily basis data processing to near-real time processing.
- You will be working on design and development of large-scale data processing and analysis projects, consulting the customers of Adastra on how to improve their business performance in the areas as wide as risk management, sales and customer experience management and process optimization.
- You will be responsible for leveraging data preparation and manipulation in leading projects for large international companies including Banking, Telecommunications, Consumer Financing, Automotive and others.
- You will be responsible for defining cloud architectures, leading data engineers, discussing and negotiating data management strategies and landscapes with architects from our clients, prepare project offers etc.
- Work directly with stakeholders to comprehend solution problems and identify opportunities
- Work together with a team of application developers, engineers, and designers to deliver innovative technology solutions using AZURE public cloud services
- Ensure that solutions created by the development team stick to technical architecture standards
- Lead the team of engineers and IT specialists to design effective, efficient, scalable, and secure applications within the organization’s Cloud software platform
For your work you will need:
-
Strong knowledge of Azure cloud architecture patterns, technics and technologies
- Advanced experience with Python, pySpark
- Advanced experience with SQL, Data modeling
- Extensive experience in Data Streaming, Azure Stream Analytics
- Extensive experience in Azure Data lake, Azure Synapse Analytics, Azure Data Factory
- Extensive experiences with cloud sizing and spend estimation
- Familiar with writing and reviewing codes , contributing to all technical discussions and architecture planning
- Proven experience of maintain clear documentation and standards for cloud operations in the organization
- Familiar with sustaining performance and availability of production systems in the AZURE public cloud infrastructure to achieve optimal uptime.
- Architect mindset, value-driven, solution-oriented
- Analytical thinking, well organized, consulting spirit, willingness to learn
- We are looking for people who share with us the passion that working with data and people is fun and a “mission”, not a “job”.
Employee perks, benefits
You will have an immense opportunity and our support to grow professionally, working on leading data analytics projects and technologies
- You will work in an environment which will stand behind you, support you in your growth, and which will value your work through competitive salary and a bonus structure
- Professional growth, Sport & Health Benefits, Adastra Teambuilding activities , Family-oriented benefits,
- Adastra Academy - wide range of leading-edge trainings & certifications, workshops, language courses
Information about the selection process
We look forward to working with you, and you becoming an Adastran!
In case of interest, do not hesitate to send us your Curriculum Vitae in English language.
We will contact only candidates who match the profile we are looking for. Thank you for your understanding.