Senior Data Engineer (AWS & Python)

**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. Puna remote: Po Burimi: https://al.linkedin.com/jobs/view/senior-data-engineer-aws-python-at-proxify-4335272730

Niveli: senior