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.

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**Hand-picked opportunities, just for you**

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**One seamless process, multiple opportunities**

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**Compensation**

Enjoy the same pay, every month with positions landed through Proxify.