Cloud Platform Developer

2 days ago


Meerut, Uttar Pradesh, India OSD Data Services Full time
About OSD Data Services

At OSD Data Services, we're passionate about unlocking the full potential of data. Our mission is to empower organizations with a seamless, unified, and scalable data infrastructure that drives informed decision-making and business growth. 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 Overview

We're seeking a highly skilled Data Platform Engineer to join our team and contribute to the design, implementation, and optimization of high-performance data platforms. You'll have the opportunity to leverage open-source technologies like Spark, Kafka, and Trino to unlock the full potential of our clients' data.

Key Responsibilities:
  • Design and Development: Design and implement scalable data platforms using leading-edge open-source technologies, ensuring seamless integration with existing systems.
  • Pipeline Optimization: Develop and optimize data pipelines for real-time and batch processing using Spark and Airflow, minimizing latency and maximizing efficiency.
  • Storage and Format Management: Implement modern storage formats like Apache Iceberg, Hudi, or Delta Lake to optimize data storage and retrieval, ensuring scalability and performance.
  • Orchestration and Deployment: Manage deployment and orchestration using Kubernetes and Docker across cloud (AWS, GCP, Azure) or on-prem environments, ensuring seamless integration with existing infrastructure.
  • Data Governance: Establish robust governance practices, including database CDC replication and lineage tracking, to ensure data accuracy and integrity.
  • Analytics Integration: Support interactive dashboards and analytics tools, enabling data-driven decision-making and business growth.
  • Performance Tuning: Monitor system performance and implement optimizations for scalability and cost-efficiency, ensuring optimal resource utilization.
  • Innovation: Stay ahead of industry trends, experimenting with emerging technologies to continuously improve the platform and drive innovation.
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.
Salary: $140,000 - $220,000 per yearWhy Choose Us?
  • Work with a forward-thinking company at the forefront of data engineering.
  • Contribute to impactful and transformative projects that drive business growth.
  • Enjoy ongoing training and professional development opportunities.
  • Benefit from flexible work arrangements and a competitive salary and benefits package.


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