Cloud Data Engineer

  • Full time
  • Prague
  • Posted 2 weeks ago
English (regular)
SQL (regular)
Azure Data Factory (regular)
Azure Synapse Analytics (regular)
Teamwork (advanced)
Problem Solving (advanced)
Communication Skills (advanced)
Currently, we are looking for a Cloud Data Engineer who has a proven track record in enterprise data modeling, database architecture, data solution development operation and delivery.
Work at Exadel – Who We Are:
Since 1998, Exadel has been engineering its own software products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel currently has 2000+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success, and they are at the core of our values, so Exadel is a people-first cultured company.
About Our Customer:
Founded in the Netherlands over 180 years ago, the customer is a global leader in information services and expert solutions for professionals in the health, tax and accounting, risk and compliance, finance, and legal sectors. As of 2017, the company was recognized by Corporate Knights as one of the 100 most sustainable companies in the world. The company currently operates in over 150 countries.
About Our Project:
The team’s workflow is focused on migrating the hosted infrastructure from Rackspace to Microsoft Azure. The goals of the project are to build IaC; to build and deploy pipelines that aid build & promotion of immutable artifacts; and to adopt cloud services.
Requirements:
  • Overall, 5+ years’ experience with minimum of 3 years’ experience as Data Engineer or similar role
  • Minimum 3 years’ experience within Data/Data pipelines/Advanced Analytics
  • Hands-on experience with Azure Synapse Analytics, Azure Data Factory, ADLS2, EventHub, Stream Analytics (working experience on at least 2 cloud implementation projects)
  • Excellent understanding of MPP data warehouse architecture 
  • Excellent ETL Skills (knowledge of Full/Inc Loads implementations) 
  • Excellent SQL/TSQL Skills 
  • Data Modeling experience 
  • Excellent communication skills 
  • Experience working in Agile/Scrum team, with 2-week sprints
  • Availability for cross team time overlap (8am-11am CT USA)
Nice to have: 
  • Bachelor’s Degree in Computer Science or a related field
  • Experience with SQL Replication
English level:
Intermediate+
Responsibilities:
  • Migrating data from legacy data platforms to modern best-fit engineering cloud data platforms
  • Developing data pipelines with Azure cloud stack
  • Developing ETL/ELT pipelines (using SSIS/ADF/Databricks/Qlik Compose) to provision data from highly transactional databases into reporting Data Marts
  • Developing data security, data governance, database tuning, management strategies, and backup procedures
  • Coordinating with the product owners to identify future needs and requirements
  • Implement modern data architecture and solutions using data lakes, Spark, Python, and other cloud technologies
Advantages of Working with Exadel:
  • You can build your expertise with our Sales Support team, who provide assistance with existing and potential projects
  • You can join any Exadel Community or create your own to communicate with like-minded colleagues
  • You can participate in continuing education as a mentor or speaker
  • You can take part in internal and external meetups as a speaker or listener. We support you in broadening your horizons and encourage knowledge sharing for all of our employees
  • You can learn English with the support of native speakers
  • You can take part in cultural, sporting, charity, and entertainment events
  • Working at Exadel means always upgrading your skills and proficiency, so we provide plenty of opportunities for professional development. If you’re looking for a challenge that will lead you to the next level of your career, you’ve found the right place
  • We work hard to ensure honest and open relations between employees and leadership, so our offices are friendly environments

To apply for this job please visit cz.talent.com.