Data Engineer
Job Summary
Job Description
- Experience designing scalable data processing systems
- Familiarity with various data warehousing solutions
- Hands-on experience with data warehousing solutions
- Familiarity with databases (e.g., SQL/DynamoDB)
- Understanding of distributed data processing systems
- Experience with AWS (or alternative cloud)
- Experience with SaaS products
- Good experience in Python
- Good experience in JavaScript/TypeScript
- Familiarity with BI tools (Tableau/Cognos/PowerBI)
11 skills required
Job Details
Project description
Tricentis is the global leader in enterprise continuous testing, widely credited for reinventing software testing for DevOps, cloud, and enterprise applications. Their AI-powered, continuous testing platform provides a new and fundamentally different way to perform software testing. An approach that's totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality.
The current project is about creating and automating Data Analysis - warehousing, ETL and post-processing for the reporting purposes throughout all the internal tools.
Responsibilities
helping the client designing data warehouse
selecting the right technologies and the right way how to do the data segregation for various tenants within the warehouse
helping the client selecting the right BI tool to integrate within products' UIs
helping with the implementation start of the solution
Skills
Must have
Experience in designing scalable data processing systems (including pipelines, advanced ETL processes, data warehouses and lakes)
Familiarity with various data warehousing solutions (e.g., Snowflake, Databricks, BigQuery, Redshift)
HandsOn experience in working with some data warehousing solutions (e.g., Snowflake, Databricks, BigQuery, Redshift)
Familiarity with databases (eg. SQL/DynamoDB)
Understanding of distributed data processing systems (e.g., Apache Spark, Apache Flink)
Experience with AWS (or alternative cloud)
Experience with SaaS products
Good experience in Python
Nice to have
Good experience in JavaScript/TypeScript
Familiarity with BI tools (Tableau/Cognos/PowerBI)
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior
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