Sr GCP Data Engineer INDIA Remote

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Sr GCP Data Engineer (Google Cloud Platform)

Location: Remote - India

Job description:

Develop construct test and maintain data acquisition pipelines for large volumes of structed and unstructured data. This includes batch and real-time processing (in google cloud)

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

Experience Requires:

5 years of experience in a GCP data engineering role (offshore)
Atleast 1 year of hands on experience in GCP tools highlighted(Python SQL Data Flow DataStream CDC (Change Data Capture) Cloud Functions Cloud Run Pub Sub BigQuery Cloud Storage)

Role: Sr GCP Data Engineer (Google Cloud Platform) Location: Remote - India Job description: Develop construct test and maintain data acquisition pipelines for large volumes of structed and unstructured data. This includes batch and real-time processing (in google cloud) Build large and c...