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.