Senior Data Engineer (GCP, Databricks) Toronto_hybrid

Ontario, CanadaHybridContractSeniorPosted 2 months ago

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Role summary

We are seeking a Senior Data Engineer to design and construct scalable batch and real-time data pipelines utilizing modern cloud and big data technologies. The role involves building and maintaining data pipelines, developing streaming solutions with Spark/Kafka/Flink, implementing Data Lakehouse and Medallion architectures, and working with microservices-based data platforms. Additionally, the engineer will set up and manage CI/CD pipelines and DevOps workflows, collaborating with stakeholders to ensure data quality. Expertise in GCP, Databricks, Python, Kubernetes, Apache Spark, Kafka/Flink, and the Hadoop ecosystem is required.

Senior Data Engineer (GCP, Databricks)

Location:
Toronto\_hybrid

Experience Required:
10+ Years

Please share the resumes with me at pranay@burgeonits.com

Role Overview

We are looking for a
Senior Data Engineer
to design and build scalable
batch and real-time data pipelines
using modern cloud and big data technologies.

Key Skills (Must Have)

GCP (Google Cloud Platform)
Databricks
Python
Kubernetes
Apache Spark (Spark Streaming)
Kafka / Flink (real-time streaming)
Hadoop ecosystem (Hive, Pig, Spark)

Core Responsibilities

- Build and maintain
data pipelines (batch & real-time)
- Develop
streaming solutions
using Spark/Kafka/Flink
- Implement
Data Lakehouse & Medallion architecture
- Work with
microservices-based data platforms
- Set up and manage
CI/CD pipelines & DevOps workflows
- Collaborate with stakeholders and ensure data quality

Nice to Have

- Unity Catalog
- Terraform
- Experience with
AI coding tools
(GitHub Copilot, Claude)

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