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Tech Stack
Tools & technologiesAirflowApacheAzureBigQueryCloudGoogle Cloud PlatformPySparkPythonSpark
About the role
Key responsibilities & impact- Deploy, configure, and execute data pipelines directly within client environments
- Perform precise field-level data mapping between customer schemas and internal platform data models
- Lead the technical translation and migration of backend data pipelines, workloads, and cloud infrastructure from Microsoft Azure to Google Cloud Platform (GCP)
- Design, build, and optimize Python-native data engineering pipelines using BigQuery as the primary datastore
- Establish and manage cloud infrastructure and orchestration workflows using Cloud Run, Apache Airflow, or similar native GCP services
- Configure Vertex AI for model registry and ML platforms
- Use Spark/PySpark to optimize computationally intensive tasks such as network-graph calculations
- Leverage AI-assisted developer tooling such as GitHub Copilot for code generation, review, and engineering productivity
Requirements
What you’ll need- 4+ years of hands-on proficiency in Python
- Extensive experience using Google BigQuery as a core input/output storage engine
- Experience setting up cloud infrastructure and orchestrating data workflows using Airflow, Cloud Run, or equivalent
- Experience adapting standard engineering solutions to diverse, client-specific schemas and environment constraints
- Experience porting data pipelines and infrastructure from Microsoft Azure to GCP (nice-to-have)
- Official Google Cloud certification, such as Associate Cloud Engineer, Professional Data Engineer, or Professional Cloud Architect (nice-to-have)
- Experience with Apache Spark or PySpark for complex data processing (nice-to-have)
- Hands-on experience with Vertex AI for AI platform setups and model management (nice-to-have)
- Familiarity with AI-assisted software development tools such as GitHub Copilot (nice-to-have)
Benefits
Comp & perks- Trust-based culture emphasizing ownership and trust in team skills and seniority
- Remote work
- Flexible time off policy
- Diverse & Impactful Projects
- English classes, trainings and certifications
- Referral Program with bonuses for successful referrals
- Annual “Binagora Week”
- Regular team gatherings
- Gifts for special occasions
