Data Engineering Specialist
2 days ago
At OSD Data Services, we're redefining the way businesses harness their data potential. Our mission is to empower organizations with a seamless, unified, and scalable data infrastructure that fosters smarter decision-making and accelerated innovation. With a focus on cutting-edge data lakehouse technologies, we've developed a comprehensive Data Lakehouse Platform that integrates top-tier tools for ingestion, governance, analytics, and machine learning.
Job OverviewWe are seeking an exceptional Data Platform Engineer with a passion for innovative problem-solving to design, build, and optimize high-performance data platforms. You'll play a key role in enabling our clients to extract maximum value from their data by leveraging the power of open-source technologies like Spark, Kafka, Kubernetes, and Trino.
Key Responsibilities:- Design and Development: Architect and implement scalable Data Lakehouse Platforms using leading-edge open-source technologies.
- Pipeline Optimization: Develop and optimize data pipelines for real-time and batch processing using Spark and Airflow.
- Storage and Format Management: Implement modern storage formats such as Apache Iceberg, Hudi, or Delta Lake to ensure efficient data storage and retrieval.
- Orchestration and Deployment: Manage deployment and orchestration using Kubernetes and Docker across cloud (AWS, GCP, Azure) or on-prem environments.
- Data Governance: Establish robust governance practices, including database CDC replication and lineage tracking.
- Analytics Integration: Support interactive dashboards and analytics tools, enabling data-driven decisions.
- Performance Tuning: Monitor system performance and implement optimizations for scalability and cost-efficiency.
- Innovation: Stay ahead of industry trends, experimenting with emerging technologies to continuously improve the platform.
- 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.
- Be part of a company at the forefront of data engineering, working on impactful and transformative projects.
- Growth Opportunities: We invest in your professional development, offering learning opportunities and career progression pathways.
- Collaborative Environment: Join a supportive team of experts who thrive on solving complex challenges together.
- Flexible Work Options: Enjoy a healthy work-life balance with remote work flexibility and competitive compensation.
- Impactful Solutions: Help shape data solutions that drive real-world results for businesses across industries.
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