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Google Cloud Platform Data Engineer Job at HCL Technologies

HCL Technologies Seattle, WA 98101

About Company:

HCL Tech is a multinational firm with $12B in revenue and 226,000 employees worldwide. We are driving digital transformation in top Fortune 500 and Global 2000 firms. The Digital Business Services line of business is 1/3 ($4B) of our business and has achieved extraordinary growth and profitability over the last 5 years.

As a leading global technology company, HCL takes pride in its diversity, social responsibility, sustainability and education initiatives

About Role:

HCL seeks a Google Cloud Platform Data Engineer for a full-time employment opportunity in Seattle, WA. This is a salaried position with benefits for HCL; it requires candidates local or open and willing to relocate to Seattle area (with paid relocation assistance). No sponsorship available.

The ideal candidates should have a minimum of 8 years of experience with at least 5 years on Big Data and Data Integration pipelines using Apache Hadoop and Spark

Skills needed:

Big data, Dataproc, Dataflow, Pub/Sub, kafka, Spark, Catalog, IAM, Stackdriver, Cloud SQL, Composer, Python, SQL.

Requirements:

  • Hands on experience on Big data is a must have
  • Should have hands on experience migrating on premise workloads like Data lake, Data warehouse to GCP
  • Should be very well versed with Hybrid Data Migration architecture patterns and approaches
  • CI/CD deployment of Data Engineering pipelines using Artifactory, Jenkins
  • Hands on experience on GCP components including Cloud Dataproc, Cloud SQL, Cloud Storage, Big Query, Big Table, Pub/Sub is a must
  • Hands on Kafka and stream processing of data is a must
  • Databases: Knowledge of both SQL and NOSQL concepts and implementation.

Certification:

  • GCP PDE Certification is a Good To have

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Job Type: Full-time

Salary: From $120,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Paid time off
  • Vision insurance

Schedule:

  • 8 hour shift

Experience:

  • Informatica: 1 year (Preferred)
  • SQL: 1 year (Preferred)
  • Data warehouse: 1 year (Preferred)

Work Location: One location




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