Data Engineer

8 - 10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

We are seeking a highly skilled and experienced Lead Data Engineer to join our dynamic data and analytics team.
The ideal candidate should have strong technical skills in GCP data services , responsible for designing, developing, and implementing robust andinsightful data intensive solutions using GCP Cloud .This role requires a deep understanding of data engineering, strong SQL skills, andextensive experience with various GCP services like Bigquery , DataFlow , DataStream , Pub/Sub , Dataproc , Cloud Storage andKey GCP Services for Data Pipeline Orchestration.You will play a crucial role in building gco native cloud data platform.Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
  • 8-10 years of overall IT experience, with 4-5 years of hands-on experience designing and developing data apllications on GCP CLoud.
  • Deep expertise in Google Cloud Platform services and architectures, including but not limited to:
Compute: Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Run, App Engine.
Storage & Databases: Cloud Storage, Cloud SQL, Big Query, Cloud Spanner, Fire store, Bigtable.Data & Analytics: Pub/Sub, Dataflow, Dataproc, Cloud Composer (Apache Airflow), Data Studio, Looker.Operations & Monitoring: Google Cloud Operations Suite (Monitoring, Logging, Trace, Debugger, Error Reporting).
  • Proven ability to translate business requirements into technical solutions .
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
  • Experience working in an Agile development methodology.
  • Ability to work independently, manage multiple priorities, and meet tight deadlines.

Preferred Skills (Nice To Have)

  • Experience with other Hyperscaler is a plus, demonstrating a broad understanding of data engineering.
  • Proficiency in Python or other scripting languages for data manipulation and automation.

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