Cloud Data Solutions Specialist

2 weeks ago

Dindigul, Tamil Nadu, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 30,00,000

Job Title: Cloud Data Engineer

Description:

We are seeking an experienced cloud data engineer to join our organization.

The ideal candidate will have a strong background in data engineering, with a focus on Google Cloud Platform (GCP). They will be responsible for designing, developing, and maintaining large-scale data pipelines, as well as leveraging various tools and technologies within the GCP ecosystem.

Key Responsibilities:

  • Develop, construct, test, and maintain data acquisition pipelines for large volumes of structured and unstructured data.
  • Build large and complex datasets based on business requirements.
  • Construct 'big data' pipeline architecture.
  • Identify opportunities for data acquisition via working with stakeholders and business clients.
  • Translate business needs to technical requirements.
  • Leverage a variety of tools in the GCP Ecosystem such as Python, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.
  • Use logs & alerts to effectively monitor pipelines.
  • Use SAP SLT to replicate SAP tables to Google Cloud using SLT.
  • Develop JSON messaging structure for integrating with various applications.
  • Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.
  • Partition/Cluster and retrieve content in Big Query and use IAM roles & Policy Tags to secure the data.
  • Use roles to secure access to datasets, authorized views to share data between projects.
  • Design and build an ingestion pipeline using Rest API.
  • Recommends ways to improve data quality, reliability, and efficiency.

Requirements:

  • 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years.
  • Work time will be in CST, until 2 am IST on most days.
  • 1-2 times in a month, the resource might be needed to stretch their work hours by 1-2 hours.

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