W skrócie
- Zadania: Projektuj i wdrażaj nowoczesne architektury danych oraz procesy ETL.
- Firma: Proxify - globalna sieć wspierających programistów z elastycznymi możliwościami pracy.
- Benefity: Terminowe wynagrodzenie, elastyczne dni wolne i możliwość pracy zdalnej.
- Pozostałe informacje: Możliwość rozwoju kariery w innowacyjnych firmach na całym świecie.
- Dlaczego ta praca: Pracuj nad ekscytującymi projektami w dynamicznym środowisku technologicznym.
- Kwalifikacje: Minimum 5-letnie doświadczenie w inżynierii danych oraz umiejętności w SQL i Pythonie.
Przewidywane wynagrodzenie mieści się w przedziale 121500 - 148500 zł za rok.
Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs.
We are looking for a Senior Data Engineer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we’re looking for:
- Minimum of 5 years of professional experience in Data Engineering.
- Proven experience designing and implementing data architectures and ETL processes.
- Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark).
- Experience with data warehouse platforms (e.g., Amazon Redshift, Google BigQuery, Snowflake).
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Strong understanding of data modelling concepts and the ability to design effective data models.
- Knowledge of data governance principles, data quality management, and data security best practices.
- Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.
Must-have skills:
- SQL
- Python / Java
- ETL
Responsibilities:
- Design, implement, and maintain scalable and efficient data architectures, including data warehouses, data lakes, and ETL processes.
- Lead the development of robust and scalable Extract, Transform, Load (ETL) processes to ensure the seamless flow of data between systems.
- Collaborate with cross-functional teams to integrate data from various sources, ensuring data quality, consistency, and accuracy.
- Develop and implement data models to support business requirements, ensuring data is structured for optimal performance and analytical capabilities.
- Identify and address performance bottlenecks within the data infrastructure, optimising queries and processes for efficiency.
- Implement and enforce data governance policies, ensuring compliance with data privacy regulations and maintaining data security.
- Implement automation strategies for data processing, monitoring, and maintenance tasks, reducing manual intervention and improving reliability.
What we offer:
- No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.
- Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
- Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
- Discover exclusive long-term remote positions at the world's most exciting companies.
- Skip the typical recruitment roadblocks and biases with personally matched positions.
- A one-time contracting process for endless opportunities, with no extra assessments.
- Enjoy the same pay, every month with positions landed through Proxify.
Senior Data Engineer – pracodawca: Proxify
Proxify to doskonały pracodawca, który łączy utalentowanych programistów z wyjątkowymi możliwościami pracy zdalnej. Oferujemy elastyczne godziny pracy, 24 dni urlopu oraz stabilne wynagrodzenie, co sprzyja harmonijnemu balansowi między życiem zawodowym a prywatnym. Nasza kultura opiera się na wsparciu i rozwoju, a dzięki współpracy z czołowymi firmami technologicznymi, nasi pracownicy mają szansę na dynamiczny rozwój kariery w międzynarodowym środowisku.
