GCP Data Engineer (Google Cloud Platform)

Role: 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)