Role:

We are looking for a great data engineer for one of our customers. You are an ideal candidate if you are directed towards growth, you love what you are doing, and enjoy working on new ideas to develop exciting products.

What we are looking for:

• At least 5 years of professional experience in data engineering.

• An experiment installed in the design and implementation of data structures and ETL processes.

• Efficiency in data engineering tools and languages ​​(for example, Python, SQL, Apache Spark).

• Experience with data warehouse platforms (for example, Amazon Redshift, Google Bigquness, Snowflake).

• Infinter with cloud platforms (AWS, GCP, or Azure).

• A strong understanding of data modeling concepts and the ability to design effective data models.

• Data Governance: Knowing the principles of data governance, managing data quality, and best practices for data security.

• Time Zone: Cet (+/- 3 hours). We are unable to consider requests from candidates in other time areas.

Skills must be:

Responsibilities:

• Design, implementation and maintenance of developable and effective data structure, including data warehouses, data lakes and ETL processes.

• The development of strong, developed, transfer, and loading extracts (ETL) leads to ensuring a smooth flow of data between systems.

• Cooperation with multi -functional teams to combine data from different sources, ensuring data quality, consistency, and accuracy.

• Development and implementation of data models to support work requirements, and ensure data regulation for optimal performance and analytical capabilities.

• Determining and processing performance in the infrastructure of data, improving information and efficiency.

• Implementing and enforcing data governance policies, ensuring compliance with data privacy rules and maintaining data security.

• Implement the automation strategies for data processing, monitor them, maintenance tasks, reduce manual intervention and improve reliability.