Job Title: Entry Level Databricks Developer Location: United States Remote Duration: Long-Term Contract Experience: 2+ Years Job Summary We are looking for an Entry-Level Databricks Developer to support data engineering and analytics initiatives using Databricks and cloud-based data platforms. The ideal candidate should have a strong foundation in Python, SQL, and data processing concepts.
Responsibilities: - Develop and support data pipelines using Databricks .
- Write Python, PySpark, and SQL code for data processing and transformation.
- Work with Delta Lake and structured/unstructured datasets.
- Assist with ETL/ELT development and data validation.
- Troubleshoot data pipeline and processing issues.
- Collaborate with data engineers, analysts, and business teams.
- Follow development standards and maintain technical documentation.
Required Skills: - 2+ years of experience in Data Engineering, Databricks, or related technologies , including internships or academic projects.
- Basic knowledge of Databricks, PySpark, Python, and SQL .
- Understanding of ETL/ELT and data warehousing concepts.
- Familiarity with relational databases and data structures.
- Strong analytical and problem-solving skills.
Preferred Skills: - Exposure to Delta Lake and Databricks notebooks.
- Basic knowledge of AWS, Azure, or Google Cloud Platform .
- Familiarity with Azure Data Factory, Airflow, or similar data pipeline tools .
- Exposure to Git and Agile/Scrum methodologies.
- Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
For applications and inquiries, contact:[email protected]