Interval Group
51 - 200 employees
📣 Marketing
⚖️ Legal
📦 Logistics
Marketing • Legal • Logistics
Interval Group is a boutique consulting and recruitment firm specializing in providing expert resources to help industry-leading organizations achieve their goals. With a global talent network of over 20 million professionals, Interval Group focuses on hiring exceptional talent for various roles including permanent, contract, and freelance positions. Their team of specialists is chosen for their expertise in areas such as technology, strategy, education, financial services, and corporate functions, ensuring the right professionals deliver effective solutions tailored to client needs. Founded by seasoned consultants, Interval Group emphasizes quality over size, aiming to be the best in their field.
Lead Data Platform Engineer – AWS, Freelance
Job not on LinkedIn
🔥 1 hour ago
Where this job comes from
Posted on Interval Group's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Interval Group
51 - 200 employees
📣 Marketing
⚖️ Legal
📦 Logistics
Marketing • Legal • Logistics
Interval Group is a boutique consulting and recruitment firm specializing in providing expert resources to help industry-leading organizations achieve their goals. With a global talent network of over 20 million professionals, Interval Group focuses on hiring exceptional talent for various roles including permanent, contract, and freelance positions. Their team of specialists is chosen for their expertise in areas such as technology, strategy, education, financial services, and corporate functions, ensuring the right professionals deliver effective solutions tailored to client needs. Founded by seasoned consultants, Interval Group emphasizes quality over size, aiming to be the best in their field.
📋 Description
• Lead hands-on development of scalable AWS data platforms, including Data Lakes, Lakehouses and Data Warehouses • Design and implement data pipelines using AWS Glue, Athena, Redshift, EMR and Kinesis • Build batch and streaming solutions with Spark, Kafka and Apache Iceberg or Delta Lake • Make architectural decisions around platform design, data integration and semantic layers • Implement orchestration with Airflow/MWAA, Step Functions and dbt • Establish security, governance and compliance practices using IAM, KMS and GDPR principles • Automate infrastructure and deployments using Terraform, CI/CD and DataOps • Lead technical delivery, conduct code reviews and mentor Data Engineers
🎯 Requirements
• Extensive hands-on AWS data platform engineering experience • Strong AWS analytics expertise, particularly Glue, Athena, Redshift and EMR • Experience with Spark, Kafka and modern Lakehouse technologies • Strong Python and SQL development skills • Experience with Terraform, CI/CD and DataOps • Ability to make architectural decisions while remaining actively involved in engineering • Experience leading technical teams and reviewing code • Very good English communication skills • German language skills are nice to have • AWS certifications are desirable
🏖️ Benefits
• Flexible working hours • Freedom to choose your own projects • Access to exciting projects in various industries • Career advancement support • Dedicated team support • Opportunity to work independently • Access to a strong professional network
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