Aug 05, 2024 - Proxify is hiring a remote Senior Data Engineer. 💸 Salary: $50k-$70K. 📍Location: CET +/- 3 HOURS.
We are seeking a Senior Data Engineer for one of our clients. Ideal candidates are growth-oriented, passionate about their work, and enthusiastic about developing innovative products.
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 modeling concepts and the ability to design effective data models.
Knowledge of data governance principles, data quality management, and data security best practices.
SQL
Python / Java
ETL
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 seamless data flow 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, optimizing 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 Proxify Offers: