Customer Data Platforms Data Engineer
... + years of experience as a Data Engineer 5+ years of expertise in implementing and optimizing Customer Data Platforms 5+ years of exposure ...
Senior Data Engineer
Місто :
, Kyiv,
Компанія :
Vattenfall IT Services PL
Зарплата :
Знайдено :
25 днів тому
Опис
Team – Analytics Hub We are a virtual international team of data engineers, analysts and scientists who work on various data projects supporting one of the Vattenfall’s fastest growing Business Units – Distribution Sweden. The majority of this Analytics Hub are data engineers of various backgrounds organized in four scrum teams with four Scrum Masters and one Product Owner. By joining us, you would become a part of one of the DevOps teams which develops and maintains solutions based on Microsoft Azure technology stack. Moreover, you would be in direct contact with experts from other IT departments (e.g., IT Architecture) to build, maintain and optimize state of the art analytics solutions; and with business stakeholders to deliver data-driven solutions and insights that support the business goals and objectives. What will you do? Your tasks and responsibilities: Building, deploying and maintaining end-to-end, scalable and reliable analytics solutions. Performing requirement engineering with the business to determine their exact needs. Designing, developing and maintaining data pipelines and ETL processes that ingest, transform and load data from various sources into data warehouses and data lakes. Performing data quality checks and ensure data integrity and security. Developing and testing data solutions using best practices and standards. Documenting and communicating data engineering processes and outcomes. Location Katowice/Gliwice Who are you? As our Data Engineer you: Have experience in data engineering or full stack development. Have hands-on experience with services in Microsoft Azure, including Data Factory, Databricks, Synapse, SQL Server 2016 and above. Demonstrate experience of C# and SQL development, ability to analyse SQL execution plans and troubleshooting. Work with PostgreSQL. Know Python, Apache Spark, PySpark. Know DAX. Know GIT and CICD. Have experience with Power BI frontend and/or backend. Demonstrate experience in designing and building ETL/ETL tracks. Possess experience in building and maintaining APIs. Have experience with Data warehousing & Data modelling concepts. Are familiar with data modelling using star schemas. Even though the list is quite long, remember that you do not have to master all the tools from the start, and that personality and potential eat a heavy resume for breakfast! You are right for this role, if you: Have excellent communication ability (in English) – can simply explain complex concepts. Have experience working in an agile way. Are collaborative, approachable and open to new perspectives. Take ownership of tasks, wins and failures. Are analytical – problem-solving skills. Are proactive – a doer. Are passionate about learning – a curious person.
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