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Chief Data Platform Specialist
2 weeks ago
As a highly skilled data platform engineer, you will have a key role in designing and building scalable data solutions.
- Design and build a highly scalable data platform to support complex data flows.
- Track and identify relevant new technologies in the market and push their implementation into our pipelines through research and POC activities.
- Deliver reliable and reusable data solutions.
- Leading, building, and continuously improving data gathering, modeling, reporting capabilities, and self-service data platforms.
- Working closely with Data Engineers, Data Analysts, Data Scientists, Product Owners, and Domain Experts to identify data needs.
- Develop processes and tools to monitor, analyze, maintain, and improve data operations, performance, and usability.
- Relevant Bachelor's degree or other equivalent Software Engineering background is required.
- 12+ years of experience as an infrastructure/data platform / big data software engineer.
- Experience with AWS/GCP cloud services such as GCS/S3 Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, Athena.
- IaC design and hands-on experience.
- Familiarity with designing CI/CD pipelines with Jenkins, Github Actions, or similar tools.
- Experience in designing, building, and maintaining enterprise systems in a big data environment on the public cloud.
- Strong SQL abilities and hands-on experience with SQL, performing analysis and performance optimizations.
- Hands-on experience in Python or an equivalent programming language.
- Experience with administering data warehouse solutions (like BigQuery/ Redshift/ Snowflake).
- Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation, and maintenance.
- Experience with Airflow and DBT - advantage.
- Experience with Kubernetes using GKE or EKS - advantage.
- Experience with development practices - Agile, TDD - an advantage.
- Mandate Skills : SQL, CICD, Terraform, IAC, Python, GCP / AWS, Jenkins, Airflow.
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