Cloud Data Platform Developer

1 day ago

Bengaluru, Karnataka, India beBeeData Full time US$ 1,04,000 - US$ 1,30,878
Data Architect Position

Job Summary

We are seeking a skilled Data Architect to drive the design and implementation of our cloud-based data platform architecture. This individual will have a direct impact on the development of BI and advanced analytics capabilities, working closely with various partners within the Data and Analytics organization.

The ideal candidate will possess industry-leading programming skills and established knowledge of implementing, designing, deploying, and maintaining big data analytics platforms in a cloud environment.

  • Provide technical direction to the data engineering team in building analytic data products
  • Understand and translate business requirements to data strategies that align with overall technology vision
  • Design, develop and enforce standards for the data storage, processing and governance across all environments
  • Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns
  • Develop, document and maintain overall view of data platform architecture, data acquisition, data quality, and data retention
  • Provide formal and informal training for data engineers, platform engineers and ETL developers
  • Maintain knowledge of emerging technologies and architectures
  • Document and publish technical principles and standards, and mentor the data engineering team to incorporate them into their daily practices
  • Champion and present the technical vision to the executive team and business stakeholders

Requirements

We require the following qualifications:

  • Bachelor's degree in information technology, computer science or related field
  • 8+ years of experience in big data, database and enterprise data architecture and delivery
  • 8+ years of programming proficiency in Python, Java and Scala
  • 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks
  • 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms
  • 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred
  • Strong SQL skills to create/maintain DB objects, query/load required data using data governance and visualization tools
  • Practical experience on workload management, monitoring, and performance tuning Apache Spark jobs
  • Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture and slowly changing dimensions
  • Experience with healthcare data a plus
  • Experience with Machine Learning & MLOPs is a plus

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