Description

Responsibilities

  • Design, Build and operationalize large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties – Big Table, Cloud Big Query, Cloud Pub Sub, Cloud Functions, etc.
  • Analyze, re-architecting and re-platforming on premise data warehouses to data platforms on GCP cloud using GCP/3rd party services.
  • Design and build production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.
  • Architect and implement next generation data and analytics platforms on GCP cloud.
  • Design and implement data engineering, ingestion and curation functions on GCP cloud using GCP native or custom programming.
  • Work with recommendation engines, data pipelines or distributed machine learning and experience with data analytics and data visualization techniques and software.
  • Perform detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud.
  • Design and implement at production scale.

Required Skills

  • Familiar with the software development lifecycle and agile methodologies.
  • Good knowledge of Java, J2EE, Spring, Micro services.
  • Cloud Platforms like AWS, Google Cloud Platform.
  • Proven ability to work effectively in a fast-paced, interdisciplinary, and deadline driven environment.
  • Proficient at financial modeling and quantitative analysis.
  • Strong problem solving and troubleshooting skills.

Required Experience

  • Minimum 7 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties – Spark, Cloud DataProc, Cloud Dataflow, Apache Beam, BigTable, Cloud BigQuery, Cloud PubSub, Cloud Functions, etc.
  • Have 1-3 years of experience in handling applications, operations in Google Cloud Platform Cloud environment.
  • Minimum 2 years of hands-on experience analyzing, re-architecting and re-platforming on premise data warehouses to data platforms on GCP cloud using GCP/3rd party services.
  • Minimum 2 years of designing and building production data pipelines from ingestion to consumption within a hybrid bigdata architecture, using Java, Python, Scala etc.
  • Minimum 2 years of architecting and implementing next generation data and analytics platforms on GCP cloud should have worked in agile environment.
  • Experience in Java, J2EE, Spring, Micro services development.

Education Requirements

  • Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.


 

Key Skills
Education

Any Graduate

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