
Large Scale Data Developer
10 hours ago
Job Title: Data Engineer
Our company is seeking a highly skilled data engineer to fill this position.
Key Responsibilities:
Design and Develop Large-Scale Data Systems:
- Develop, implement, and maintain scalable data pipelines using Python, SQL, and PySpark.
- Collaborate with cross-functional teams to understand business requirements and implement data solutions that meet those needs.
- Work closely with the data architecture team to design and implement data warehousing solutions using Redshift, Snowflake, or Databricks SQL.
- Develop and maintain REST APIs using Flask or FastAPI and containerize them using Docker/Kubernetes.
Requirements:
- Strong understanding of Python, SQL, PySpark, Bash scripting, and ETL concepts.
- Experience with data pipelines, structured/unstructured data, and Databricks (Delta Lake, Workflows, CLI, Job Clusters, Workspace).
- Expertise in Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL) and knowledge of ML lifecycle & libraries (scikit-learn, XGBoost).
- Familiarity with CI/CD tools (Jenkins), Git, orchestration tools (Airflow/Prefect), and containerization (Docker/Kubernetes).
- A dynamic work environment.
- Ongoing training and opportunities for professional growth.
- A competitive salary package and benefits.
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