
Databricks Engineer
3 weeks ago
Job Description :
We are seeking an experienced contractor with strong expertise in Databricks and Python to support data engineering and analytics initiatives. The role involves working on data pipelines, transformations, and integrations using Databricks, with Python as a supporting skill. The ideal candidate should have a minimum of 8 years of overall IT experience, including at least 3 years of hands-on work in Databricks.
Key Responsibilities :
- Design, develop, and optimize ETL/ELT processes using Databricks.
- Develop and maintain data pipelines for large-scale data processing and analytics.
- Implement data transformations, cleansing, and validation within Databricks.
- Write efficient, reusable, and maintainable Python scripts to support data workflows.
- Integrate data from various sources, ensuring quality and consistency.
- Work with stakeholders to understand business requirements and translate them into technical solutions.
- Optimize Databricks clusters, notebooks, and workflows for performance and cost efficiency.
- Ensure adherence to data governance, security, and compliance standards.
- Troubleshoot and resolve issues in data pipelines and workflows.
Required Qualifications :
- Overall Experience: Minimum 8 years in IT/software development.
- Databricks Experience: Minimum 3 years of hands-on experience in Databricks (data engineering, transformations, and analytics).
- Strong proficiency in Python for data processing and automation.
- Experience with Spark (PySpark) for distributed data processing.
- Good understanding of data warehousing concepts, SQL, and relational databases.
- Knowledge of cloud platforms (AWS/Azure/GCP) and integrating Databricks with them.
- Strong debugging and problem-solving skills.
- Good communication and collaboration skills.
Preferred Skills :
- Experience with Delta Lake and data lakehouse architecture.
- Familiarity with CI/CD pipelines for data workflows.
- Exposure to real-time data streaming tools like Kafka.
- Understanding of big data security and compliance practices.
(ref:hirist.tech)-
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