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    DataBricks Developer on AWS - Dallas, TX, United States - Infinite Computer Solutions (ICS)

    Infinite Computer Solutions (ICS)
    Infinite Computer Solutions (ICS) Dallas, TX, United States

    3 weeks ago

    Default job background
    Technology / Internet
    Description
    • Developing Data Pipelines: Designing and implementing scalable data pipelines using Databricks on AWS infrastructure leveraging Python and Spark.
    • Data Ingestion: Managing the ingestion of structured and unstructured data from various sources into Databricks clusters on AWS, ensuring data quality and reliability.
    • Data Processing: Performing data processing tasks, such as data transformation, cleansing, aggregation, and enrichment using Databricks tools and AWS services like EMR (Elastic MapReduce).
    • Optimization and Performance Tuning: Optimizing Databricks jobs and clusters for performance, efficiency, and cost-effectiveness on the AWS platform.
    • Integration: Integrating Databricks with other AWS services such as S3, Glue, Redshift, and Lambda to build end-to-end data solutions.
    • Monitoring and Maintenance: Monitoring Databricks clusters, jobs, and workflows for performance issues, troubleshooting errors, and ensuring high availability and reliability.
    • Security and Compliance: Implementing security best practices and ensuring compliance with data privacy regulations (e.g., GDPR, CCPA) in Databricks deployments on AWS.
    • Collaboration: Collaborating with data engineers, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
    • Documentation: Documenting Databricks workflows, architecture, and best practices to facilitate knowledge sharing and maintain system documentation.
    • Continuous Learning: Keeping up-to-date with the latest advancements in Databricks, AWS services, and data engineering technologies to continuously improve skills and contribute to innovation in data solutions.
    DataBricks Developer on AWS || Dallas TX || Hybrid ||
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