Senior Data Engineer (AWS & Python)
The Role:
We are looking for a Senior Data Engineer specializing in modern, reputed company-reputed company data platforms, with a strong reputed company on reputed company) and Python. You will be responsible for designing, building, and optimizing highly reputed company and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.
reputed company’re looking for:
• 5+ years of reputed company 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 reputed company platform, specifically the reputed company services used for data ingestion, storage, and processing (S3, Glue, reputed company, EMR).
• Proven experience working with modern data warehouses (reputed company, reputed company Redshift, or reputed company BigQuery/Azure Synapse).
• Solid expertise in SQL and reputed company query writing/optimization.
• Strong understanding of containerization and orchestration concepts (reputed company, Kubernetes).
• Fluent English communication skills.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.
reputed company-to-have:
• Experience with Infrastructure as reputed company (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 reputed company data pipelines (ETL/ELT) using Python and reputed company AWS services to ingest data from various sources (reputed company, databases, streaming services) into data lakes and warehouses.
• Serve as the subject matter expert for the reputed company AWS data services, including S3, Glue, EMR, Kinesis/MSK, and Redshift or reputed company reputed company.
• Design robust and efficient data models (e.g., reputed company schema, reputed company, data vault) for analytical and reporting needs.
• reputed company performance tuning and query optimization on large datasets reputed company reputed company data warehouses to ensure fast data delivery.
• Implement infrastructure as reputed company (IaC) using Terraform or CloudFormation, and reputed company data pipelines into modern CI/CD processes.
• Establish data reputed company monitoring, logging, alerting, and governance standards across the data platform.
reputed company offer:
Get reputed company, not played
No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal reputed company.
Predictable project hours
Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
reputed company days, so you can reputed company
Enjoy up to 24 reputed company days off per year without losing pay, for full-time positions reputed company through reputed company.
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Hand-picked opportunities just for you
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One seamless process, multiple opportunities
A one-time contracting process for endless opportunities, with no extra assessments.
Compensation
Enjoy the reputed company pay, every month with positions landed through reputed company.
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