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Senior Data Engineer (AWS & Python) at Proxify. Location Information: 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 specializing in modern, cloud-native data platforms, with a strong focus on Amazon Web Services (AWS) and Python. You will be responsible for designing, building, and optimizing highly scalable and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.. .  . . What we’re looking for:. .  . . . 5+ years of professional experience in data engineering. . Expert proficiency in Python for data manipulation, scripting, and pipeline development (e.g., Pandas, PySpark).. . Deep hands-on experience with the AWS cloud platform, specifically the core services used for data ingestion, storage, and processing (S3, Glue, Lambda, EMR).. . Proven experience working with modern data warehouses (Snowflake, Amazon Redshift, or Google BigQuery/Azure Synapse).. . Solid expertise in SQL and complex query writing/optimization.. . Strong understanding of containerization and orchestration concepts (Docker, Kubernetes).. . Fluent English communication skills.. . Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.. . .  . .  . . Nice-to-have:. .  . . . Experience with Infrastructure as Code (Terraform or CloudFormation).. . Proficiency with a modern orchestration tool like Apache Airflow.. . Familiarity with data streaming technologies (Kafka, Kinesis, or Flink).. . AWS certifications. . .  . . Responsibilities:. .  . . . Architect, implement, and maintain scalable data pipelines (ETL/ELT) using Python and native AWS services to ingest data from various sources (APIs, databases, streaming services) into data lakes and warehouses.. . Serve as the subject matter expert for the core AWS data services, including S3, Glue, EMR, Kinesis/MSK, and Redshift or Amazon Aurora.. . Design robust and efficient data models (e.g., star schema, snowflake, data vault) for analytical and reporting needs.. . Perform performance tuning and query optimization on large datasets within cloud data warehouses to ensure fast data delivery.. . Implement infrastructure as code (IaC) using Terraform or CloudFormation, and integrate data pipelines into modern CI/CD processes.. . Establish data quality monitoring, logging, alerting, and governance standards across the data platform.. . .  . .  . . 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.