drjobs Full Stack Data Engineer

Full Stack Data Engineer

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1 Vacancy
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Job Location drjobs

Chennai - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Description
  • Work on a Central Engineering Portfolio Team based in Chennai to deliver curated data products and perform end to end Full stack Data engineer role.
  • Work effectively with fellow data engineers product owners data champions and other technical experts.
  • Demonstrate technical knowledge and communication skills with the ability to advocate for welldesigned solutions.
  • Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
  • Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated thirdparty technologies.


Responsibilities
  • Demonstrate technical knowledge and communication skills with the ability to advocate for welldesigned solutions.
  • Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
  • Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated thirdparty technologies.


Qualifications
  • 5 years of SQL development and analytics/data product development experience.
  • 3 years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.
  • Experience working in GCP native (or equivalent) services like Big Query Google Cloud Storage PubSub Dataflow Dataproc Cloud Build etc.
  • Experience working with Airflow for scheduling and orchestration of data pipelines.
  • Experience working with Terraform to provision Infrastructure as Code.
  • 2 years professional development experience in Java or Python.
  • Bachelors degree in computer science or related scientific field.
  • Experience in analyzing complex data organizing raw data and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.


Employment Type

Full-Time

Company Industry

About Company

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