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

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