Cloud Data Architecture Expert
2 days ago
Overview
">OSD Data Services is at the forefront of data engineering, pushing the boundaries of what's possible with data. As a Data Platform Engineer, you'll be instrumental in designing, building, and optimizing high-performance data platforms that transform businesses across industries.
With a strong focus on innovation and collaboration, our team thrives on solving complex data challenges. If you're passionate about working with cutting-edge technologies and shaping the future of data infrastructure, this role is perfect for you.
">Responsibilities
">- Data Engineering Expertise: Leverage your expertise in open-source technologies to architect and implement scalable data lakehouse platforms.
- Pipeline Optimization: Develop and optimize data pipelines for real-time and batch processing, utilizing tools like Spark and Airflow.
- Storage and Format Management: Implement modern storage formats such as Apache Iceberg, Hudi, or Delta Lake, ensuring efficient data storage and retrieval.
- Deployment and Orchestration: Manage deployment and orchestration using Kubernetes and Docker across cloud or on-prem environments.
- Data Governance: Establish and maintain robust governance practices, including database CDC replication and lineage tracking.
- Analytics Integration: Support interactive dashboards and analytics tools, such as Superset or similar, enabling data-driven decisions.
- Performance Monitoring: Monitor system performance and implement optimizations to ensure scalability and cost-efficiency.
Requirements
">- 3+ years of experience in data platform engineering, with expertise in open-source tools and cloud technologies.
- Strong understanding of distributed computing frameworks like Spark and query engines like Trino or Presto.
- Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and hybrid/on-prem infrastructure.
- Familiarity with ETL/ELT workflows, CDC replication tools, and modern data storage solutions.
- Proficiency in programming languages like Python, Java, or Scala.
- Experience managing large-scale data systems (terabyte/petabyte-scale) and optimizing for performance.
- Excellent problem-solving skills and a passion for leveraging open-source technologies to build transformative solutions.
Preferred Qualifications
">- Familiarity with AI/ML frameworks and integration.
- Experience with CI/CD workflows and infrastructure as code (e.g., Terraform, Ansible).
- Knowledge of data governance frameworks and compliance standards.
Why Join Us?
">Join a company that's pushing the boundaries of data engineering and empowering businesses across industries. With a collaborative environment, flexible work options, and competitive compensation, you'll thrive in our dynamic and innovative workplace.
">About Our Tech Stack
">- Distributed computing: Apache Spark, Hive
- Streaming and messaging: Kafka
- Query engines: Trino, Presto
- Orchestration: Airflow
- Storage formats: Apache Hudi, Iceberg, Delta Lake
- Visualization: Superset
- Containerization: Docker, Kubernetes
- Cloud platforms: AWS, GCP, Azure
$150,000 - $200,000 per year
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