Databricks Data Engineer

3 days ago

Toronto, Ontario, Canada CloudTech Innovations Full time $120,000 - $180,000 per year

Job Title: Data Engineer – Databricks

Location:
Onsite – Toronto, Canada

Employment Type:
Contract

About the Role

We are seeking an experienced Data Engineer
with a strong background in
Databricks
,
Apache Spark
, and
modern cloud data platforms
. The ideal candidate has over
5 years of experience
designing, developing, and maintaining scalable data pipelines and lakehouse architectures in enterprise environments. You will work closely with solution architects, analysts, and cross-functional teams to build robust, high-performance data solutions supporting analytics and machine learning workloads.

Key Responsibilities


• Design and implement ETL/ELT pipelines
using
Databricks
and
Apache Spark
for batch and streaming data.


• Develop and maintain
Delta Lake
architectures to unify structured and unstructured data.


• Collaborate with
data architects, analysts, and data scientists
to define and deliver scalable data solutions.


• Implement
data governance
, access control, and lineage using
Unity Catalog
, IAM, and encryption standards.


• Integrate Databricks with cloud services on
AWS, Azure, or GCP
(e.g., S3, ADLS, BigQuery, Glue, Data Factory, or Dataflow).


• Automate workflows using orchestration tools such as
Airflow
,
dbt
, or native cloud schedulers.


• Tune Databricks jobs and clusters for performance, scalability, and cost optimization.


• Apply
DevOps principles
for CI/CD automation in data engineering workflows.


• Participate in Agile ceremonies, providing updates, managing risks, and driving continuous improvement.

Required Qualifications


• 5+ years
of professional experience in
data engineering
or
data platform development
.


• Hands-on experience with
Databricks
,
Apache Spark
, and
Delta Lake
.


• Experience with at least
one major cloud platform
—
AWS
,
Azure
, or
GCP
.


• Strong proficiency in
Python
or
Scala
for data processing and automation.


• Advanced knowledge of
SQL
, query performance tuning, and data modeling.


• Experience with
data pipeline orchestration tools
(Airflow, dbt, Step Functions, or equivalent).


• Understanding of
data governance
,
security
, and
compliance
best practices.


• Excellent communication skills and ability to work
onsite in Toronto
.

Preferred Skills


• Certifications in Databricks
,
AWS/Azure/GCP Data Engineering
, or
Apache Spark
.


• Experience with
Unity Catalog
,
MLflow
, or
data quality frameworks
(e.g., Great Expectations).


• Familiarity with
Terraform
,
Docker
, or
Git-based CI/CD pipelines
.


• Prior experience in
finance, legal tech, or enterprise data analytics
environments.


• Strong analytical and problem-solving mindset with attention to detail.

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