We are seeking a hands-on Senior Data Engineer in a full-time salaried position. The Data Engineer will work with our Data Services Practice alongside talented cloud architects, playing a key role in our delivery teams.
Responsibilities
- Design, program, and implement data platform components.
- Serve as a hands-on consultant to our customers.
- Work primarily on Google Cloud, with interactions on AWS or Microsoft Azure in hybrid environments.
- Implement, automate, and maintain enterprise data systems.
- Utilize data engineering technologies such as Apache Beam / Dataflow, BigQuery, Pub / Sub, BigLake, Cloud Storage, SQL, Postgres, Redis, and Composer.
- Ensure data system robustness, including caching, clustering, partitioning, event windows, and cost-efficient queries.
- Implement data governance and security measures like RBAC and CBAC.
- Manage multiple client projects with varying priorities.
- Write reusable, scalable, and test-driven code.
- Work within project plans and sprints under technical management.
- Handle relational and non-relational databases and file types including Parquet, Avro, CSV.
Qualifications
- 5+ years as a data or software engineer in a professional setting.
- Experience with data ingestion, processing, ETL/ELT, parallel computing, and workflow orchestration.
- Strong knowledge of databases and data storage solutions.
- Ability to architect, develop, and test enterprise-level code following best practices.
- Proficiency in at least one programming language.
- Knowledge of distributed systems, monitoring, alerting, and message contracts.
- Cloud Certifications such as GCP Data Engineer preferred.
- Experience in Data Science and Data Science Engineering.
- Experience deploying workloads to the cloud.
- Familiarity with DevOps CI/CD workflows and infrastructure as code (e.g., Terraform).
About the Company
Bitstrapped is a fast-growing consulting firm specializing in Data and AI services. We help companies develop data-to-AI infrastructure, including data ingestion, transformation, warehousing, migrations, and machine learning applications.
Benefits
- Health benefits including medical, dental, and vision coverage.
- Subsidies for home-office equipment.
- Valuing candidates with non-linear careers and underrepresented backgrounds.
Location
Ontario, ON, Canada