
Senior Big Data Engineer
2 weeks ago
This is a data engineering role where you will design, develop and maintain scalable data pipelines using modern cloud & big data platforms.
As a key member of our team, you will collaborate with cross-functional teams to identify business requirements and implement data solutions.
- We are looking for someone with strong programming skills in Python, SQL, and PySpark.
- A strong background in ETL, data pipelines, structured/unstructured data is also required.
- The ideal candidate will have hands-on experience with Databricks (Delta Lake, Workflows, CLI, Job Clusters, Workspace).
- Cloud Data Warehousing expertise in Redshift, Snowflake, Databricks SQL or equivalent is necessary.
- Knowledge of REST APIs, Flask/FastAPI and containerization (Docker/Kubernetes) is also preferred.
- Familiarity with the ML lifecycle and libraries like scikit-learn and XGBoost is an asset.
- A strong understanding of CI/CD, Git, orchestration tools like Airflow/Prefect is required.
Preferred Qualifications:
- 3–6 years of experience in building scalable data pipelines and working on modern cloud & big data platforms.
- Strong communication and collaboration skills are essential.
Responsibilities
- Design and develop scalable data pipelines.
- Collaborate with cross-functional teams.
- Implement data solutions.
- Maintain data quality.
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