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Senior Data Engineer at Proxify. Location Information: Time zone: CET (+/- 3 hours). 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.. . 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:. .  . . 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.