Large Scale Data Platform Architect
5 days ago
We are seeking a seasoned data engineer to spearhead large-scale data platform design and development using modern data engineering tools and practices.
Main Responsibilities:
- Design and implement robust data pipelines for ingestion, transformation, and analytics.
- Strong experience in GCP ecosystem is mandatory.
- Work with Big Data tools: Hadoop, Spark, Kafka.
- Hands-on experience in Databricks (Unity Catalog, Workflow, Performance Tuning).
- Build scalable workflows using Airflow, Tivoli, etc.
- Write transformation logic using DBT (preferred) or similar tools.
- Programming/scripting with Python, Java, Scala, or similar languages.
- Work on Linux systems and use Git-based tools for version control and CI/CD.
- Set up and manage containers using Docker / Kubernetes.
- Implement data-as-a-service APIs (preferred).
- Adhere to software engineering best practices: testing, documentation, reviews.
- Interact efficiently with cross-functional teams—technical and non-technical.
Requirements:
- Minimum 8 years of data engineering experience.
- GCP experience is mandatory.
- Proven expertise with Databricks, Big Data stack, and workflow orchestration tools.
- Immediate availability (0–15 days notice period).
- Comfortable working in a flexible shift.
- Strong communication and documentation skills.
Benefits:
The ideal candidate will have the opportunity to work on challenging projects, develop their skills, and collaborate with experienced professionals in the field.
Others:
Please note that this is a senior-level position, and we are looking for someone with significant experience in data engineering.
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