
Senior Data Engineer Position
1 day ago
We are seeking a highly skilled Senior Data Engineer to drive the development and implementation of robust data pipelines.
The ideal candidate will have a strong background in computer science and data engineering, with expertise in designing and implementing large-scale data systems.
The successful candidate will have experience working with cloud-based data warehousing platforms such as Redshift, Snowflake, or Databricks SQL. They will also be proficient in using distributed frameworks like Spark and have hands-on experience with Databricks platform for data engineering.
In addition to technical skills, the candidate should have excellent communication skills and be able to work collaboratively with cross-functional teams across technology and business.
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field
- 5+ years of experience in Python, SQL, PySpark, and bash scripts
- Experience in software development lifecycle and software engineering practices
- Developing and maintaining scalable data pipelines for structured and unstructured data
- Working with cloud data warehousing platforms (Redshift, Snowflake, Databricks SQL)
- Experience with Databricks platform for data engineering, Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, Databricks Workspace
- Solid understanding of machine learning life cycle, data mining, ETL techniques
- Familiarity with commonly used machine learning libraries (scikit-learn, xgboost)
- Proficiency in REST APIs, API development frameworks (Flask/FastAPI), containerization frameworks (Docker/Kubernetes)
- Hands-on experience in building and maintaining tools and libraries
- Proficient in CI/CD tools (Jenkins/equivalent), version control (Github/Bitbucket), Orchestration (Airflow/Prefect/equivalent)
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