Senior Data Engineer (AWS & Python)

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. Apply tot his job Apply To this Job