Data Engineering Associate
2 weeks ago
About the Role
Metyis is a fast-growing international company seeking a skilled Data Engineering Associate to join our team.
- As a Data Engineering Associate, you will work closely with our clients to drive business change and lead your team in creating new business solutions.
- You will seize opportunities at the client and at Metyis in our entrepreneurial environment.
- Become part of a diverse team and work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights.
- You'll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
- Implement/build methodologies as well as scale them together with the businesses;
- Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
- Ingest data-sources into our data management platforms
- Structure data into a scalable and easily understood architecture
Requirements
- A broad practice in multiple software engineering field
- 3 - 6 years of professional hands-on experience
- At least 1 year of consultancy experience or relevant industry experience
- Hands-on experience including programming to implement pipelines integrating database management systems, cleaning data, and improving data quality
- Knowledge in Azure (AWS or GCP as a plus) and at least one programming language (Python, R, Scala), Hadoop clusters, different SQL and nonSQL databases
- Experience with agile methodologies
- You are inventive and passionate about streamlining and automating data acquisition and possess a highly structured approach to problem-solving.
- Must have experience on Python, SQL, and Distributed programming languages, preferably Spark
- Experience on data workflows and ETL, Apache Airflow is a plus
- Basic knowledge of Containers and Docker as platform
- Experience using Version Control, Testing, and development cycle, preferable git (Gitlab or GitHub)
- Software development practices (Agile)
- A Strong Focus On Data Processing
- Object-oriented programming
- Data workflows, monitoring, architecture and security
- Databases: theory and practice
- Distributed data processing
- Concepts of functional programming
- Enterprise data warehousing, business intelligence, and ETL principles
- Good written and oral communication skills in English language
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