Unlock Your Career with this Top Data Engineering Role

7 days ago

Kanpur, Uttar Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Title: Data Engineer

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong pre-screening skills and be able to communicate effectively with stakeholders and business clients.

Main Responsibilities:

  • Develop, construct, test and maintain data acquisition pipelines for large volumes of structured and unstructured data using GCP.
  • 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 Google Cloud Ecosystem such as Python, Data Flow, DataStream, CDC (Change Data Capture), 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.
  • The resource must work in CST time zone and adapt to occasional extended working hours.

This is a long-term contract opportunity that requires a skilled professional with expertise in Google Cloud Platform (GCP).

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