Senior Data Engineer

**About us:** Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast\-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200\+ happy clients to build their products and growth features. 5000\+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full\-time jobs. Our Glassdoor (4\.5/5\) and Trustpilot (4\.8/5\) ratings reflect the trust developers place in us and our commitment to our members' success. **The Role:** 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. * Data Governance: Knowledge of data governance principles, data quality management, and data security best practices. **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:** **Get paid, not played** No more unreliable clients. Enjoy on\-time monthly payments with flexible withdrawal options. **Predictable project hours** Enjoy a harmonious work\-life balance with consistent 8\-hour working days with clients. **Flex days, so you can recharge** Enjoy up to 24 flex days off per year without losing pay, for full\-time positions found through Proxify. **Career\-accelerating positions at cutting\-edge companies** Discover exclusive long\-term remote positions at the world's most exciting companies . **Hand\-picked opportunities, just for you** Skip the typical recruitment roadblocks and biases with personally matched positions. **One seamless process, multiple opportunities** A one\-time contracting process for endless opportunities, with no extra assessments. **Compensation** Enjoy the same pay, every month with positions landed through Proxify.