Data Engineering Associate

1 maand geleden

Amsterdam, Nederland Metyis Voltijd

What we offer

Interact with senior stakeholders on regular basis, to drive their business towards impactful change. Become the go-to person for end-to-end data handling, management and analytics processes. Work with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. Become part of a fast-growing international and diverse team

What you will do

Design, build and maintain big data architecture and data pipeline. Define and implement software solutions for scalability and maintainability. Solve problems, disaggregate issues, develop hypotheses and develop actionable solutions to support data engineering and data scientists teams. Kept up to date with latest industry knowledge and news to maintain and improve enterprise and business platforms. Develop and implement CI/CD pipeline automation solutions. Support and improve agile culture in your team. Collaborate and work closely with teams to better understand the end-user requirements.

What you’ll bring

3 - 5 years of experience in data analytics; Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF) Advanced SQL, data transformation and data profiling skills Experience of building production ETL/ELT pipelines at scale 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming; Experience with Airflow, Kubernetes, Great expectations is a plus Programming languages: Python (pyspark), scripting languages like bash Knowledge of git, CI/CD operations and Docker Basic knowledge of PowerBI is a plus Customer-centric, passionate about delivering great digital products and services Demonstrating a true engineering craftsmanship mindset Passionate about continuous improvement and working collaboratively Strong problem-solving skills coupled with the ability to convey designs and ideas to a wider audience Comfortable with ambiguity, highly autonomous A bachelor's degree in computer science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (a Master's Degree is a plus);

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