Data Architect -

We are looking for an experienced

Data Engineer

to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines, managing infrastructure as code, and ensuring smooth CI / CD integration across environments. You’ll work closely with cross-functional teams to design, implement, and optimize data solutions that drive key business insights.

Key Responsibilities

Design, develop, and maintain

data pipelines and workflows

in

Databricks

Build and manage

data transformation models

using

dbt (Data Build Tool) .

Implement and support

infrastructure automation

with

Terraform

and

Kubernetes

Develop and maintain

CI / CD pipelines

for data integration and deployment processes.

Collaborate with data scientists, analysts, and engineers to ensure efficient data flow and architecture.

Monitor, optimize, and troubleshoot data infrastructure for performance and scalability.

Work with

Azure DevOps

to manage repositories, pipelines, and deployments.

Ensure best practices in data quality, version control, and infrastructure reliability.

Required Skills & Qualifications

~4+ years

of hands-on experience as a

Data Engineer

or in a similar role.

~ Strong proficiency in

Databricks

and

dbt

~ Experience with

Azure DevOps

for pipeline orchestration and version control.

~ Solid understanding of

Kubernetes

for container orchestration.

~ Experience implementing

infrastructure as code

using

Terraform

~ Proven experience setting up and managing

CI / CD pipelines

for data solutions.

~ Strong understanding of

data modeling

ETL processes

, and

cloud-based data architectures

~ Excellent problem-solving skills and attention to detail.

~ Strong communication and collaboration abilities within agile teams