
Big Data Strategist
3 days ago
We are seeking a Senior Data Engineer to join our team. The role involves designing and developing scalable data pipelines on modern cloud & big data platforms.
A strong background in Python, SQL, PySpark, Bash scripting, ETL, data pipelines, structured/unstructured data is required. Additionally, expertise in Databricks (Delta Lake, Workflows, CLI, Job Clusters, Workspace), Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL, or equivalent) is essential.
This position also requires proficiency in REST APIs, Flask/FastAPI, containerization (Docker/Kubernetes), ML lifecycle & libraries (scikit-learn, XGBoost), CI/CD (Jenkins), Git, orchestration tools (Airflow/Prefect). Excellent communication & collaboration skills are necessary for success.
Key Responsibilities- Designing and developing scalable data pipelines
- Working with modern cloud & big data platforms
- Developing expertise in Databricks and Cloud Data Warehousing
- Strong background in Python, SQL, PySpark, Bash scripting, ETL, data pipelines, structured/unstructured data
- Proficiency in REST APIs, Flask/FastAPI, containerization (Docker/Kubernetes), ML lifecycle & libraries (scikit-learn, XGBoost), CI/CD (Jenkins), Git, orchestration tools (Airflow/Prefect)
Our company offers a dynamic work environment with opportunities for growth and development. We value innovation, teamwork, and customer satisfaction.
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