.
Optimize cloud workloads for efficiency, reliability, and cost management.
Collaborate with data analysts, data scientists, product managers, and engineering teams to deliver high-quality data solutions.
Write clean, efficient, and reusable code using
Python
,
SQL
, and/or
Scala/Java
(optional).
Build and maintain
CI/CD pipelines
for data workflows using tools like Cloud Build, GitHub Actions, or similar.
Ensure data security, compliance, governance, and privacy best practices across systems.
Contribute to solution architecture (for senior engineers).
Provide technical mentoring and guidance to junior engineers (for senior roles).
Required Skills & Experience
Strong experience with
Google Cloud Platform (GCP)
.
Proficiency with
BigQuery
: SQL, partitioning, clustering, optimization.
Experience building pipelines using
Dataflow (Apache Beam)
,
Cloud Composer (Airflow)
, or
Pub/Sub
.
Excellent
SQL
and
Python
development skills.
Strong understanding of
ETL/ELT
, data modelling, and data warehouse principles.
Experience with
version control (Git)
and CI/CD tools.
Knowledge of
cloud security, IAM, and networking basics
.
Experience with containerized workloads (Docker, Kubernetes) is a plus.
Familiarity with Terraform or infrastructure-as-code is desirable.
Strong problem-solving skills and attention to detail.
Ability to work independently in a remote environment.
Effective communication and stakeholder-management skills.
Ability to mentor junior team members (for senior-level applicants).
Job Type: Full-time
Pay: 55,000.00-95,000.00 per year
Benefits:
* Work from home
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