Metova is looking for a Data Engineer to join our team. In this role, you will design, implement, and maintain robust data pipelines and architectures. You will collaborate with cross-functional teams to ensure our data is accurate, accessible, and actionable, helping our clients leverage their information for better decision-making.

What You'll Do

Design, develop, and maintain data pipeline architectures.
Optimize data ingestion, storage, and processing workflows.
Collaborate with data scientists and analysts to understand data needs and convert requirements into technical specifications.
Ensure data quality and integrity throughout the data lifecycle.
Implement data security and compliance measures.
Monitor and troubleshoot data systems performance issues.
Stay up-to-date with industry trends, technologies, and best practices in data engineering.

What We're Looking For

5+ years of experience in Data Engineering or a similar role.
Strong knowledge of ETL tools and databases (SQL and NoSQL).
Proficiency in programming languages such as Python and/or Java.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Proven ability to design and build scalable data management systems.
Strong focus on data quality, reliability, and continuous improvement.
Excellent written and verbal communication skills.

Nice to Have

Experience with microservices architectures and containerization tools (Docker, Kubernetes).
Knowledge of data visualization tools such as Tableau or Power BI.
Experience with real-time data processing technologies (Apache Kafka, Apache Spark).

Technical Stack

Databases: SQL, NoSQL
Languages: Python, Java
Cloud: AWS, Azure, Google Cloud
Tools: Docker, Kubernetes, Tableau, Power BI, Apache Kafka, Apache Spark

Team & Environment

We promote a flexible and positive work environment, allowing you the autonomy to build exceptional software solutions for our clients while contributing to a team of industry-leading innovators.