
Data Systems Architect
2 days ago
Job Title:
About the Position:
We are seeking a skilled Data Engineer to fill this key role. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems.
Key Responsibilities:
- Design and implement scalable data pipelines using modern cloud and big data platforms.
- Develop and maintain high-quality code in Python, PySpark, and SQL.
- Work with Databricks, Delta Lake, Workflows, CLI, Job Clusters, and Workspace.
- Expertise in Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL, or equivalent).
- Knowledge of REST APIs, Flask/FastAPI, and containerization (Docker/Kubernetes).
- Familiar with ML lifecycle & libraries (scikit-learn, XGBoost).
- Strong in CI/CD (Jenkins), Git, orchestration tools (Airflow/Prefect).
- Excellent communication & collaboration skills.
Requirements:
- 3–6 years of experience in building scalable data pipelines.
- Strong in Python, SQL, PySpark, Bash scripting.
- Experience in ETL, data pipelines, structured/unstructured data.
Tech Stack:
- AWS
- Python
- PySpark
- SQL
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