Data Engineering Expert
2 days ago
We are a cutting-edge data engineering company that empowers businesses to unlock the full potential of their data. Our mission is to deliver seamless, unified, and scalable data infrastructure that drives smarter decision-making and faster innovation.
Role OverviewWe are seeking a highly skilled Data Platform Engineer to design, build, and optimize high-performance data platforms using open-source technologies. This role offers the unique opportunity to work on complex, petabyte-scale projects and shape the future of data infrastructure for businesses across industries.
Key Responsibilities- Design and Development: Architect and implement scalable data lakehouse platforms using distributed computing frameworks like Apache Spark and Hive.
- Pipeline Optimization: Develop and optimize data pipelines for real-time and batch processing with tools like Airflow.
- Storage and Format Management: Implement modern storage formats such as Apache Hudi, Iceberg, or Delta Lake for efficient data storage and retrieval.
- Orchestration and Deployment: Manage deployment and orchestration using Kubernetes and Docker across cloud environments (AWS, GCP, Azure) or on-prem environments.
- Data Governance: Establish and maintain robust governance practices, including database CDC replication and lineage tracking.
- 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).
- Familiarity with ETL/ELT workflows, CDC replication tools, and modern data storage solutions.
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