Data Architect - Google Cloud Platform

Overview

Hybrid
Depends on Experience
Full Time

Skills

Data Architect
Data Engineer
GCP
Dataflow
Dataproc
BigQuery
Scripting
ETL

Job Details

Working experience as a Data Engineer

Experienced in migrating large-scale applications from legacy systems to modern architectures.'

Good programming skills in Python and experience with Spark for data processing and analytics

Experience in Google Cloud Platform services such as GCS, Dataflow, Cloud Functions, Cloud Composer, Cloud Scheduler, Datastream (CDC), Pub/Sub, BigQuery, Dataproc, etc. with Apache Beam (Batch & Stream data processing).

Develop JSON messaging structure for integrating with various application

Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.

Experience with scripting languages like Shell, Perl etc.

Design and build an ingestion pipeline using Rest API.

Experience with data modeling, data integration, and ETL processes

Strong knowledge of SQL and database systems

Familiarity with managing cloud-native databases.

Understanding of security integration in CI/CD pipelines.

Understanding of data warehousing concepts and best practices

Proficiency in working with large-scale data sets and distributed computing frameworks

Strong problem-solving and analytical skills

Excellent communication and teamwork abilities

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