DataBricks Engineer
1 day ago
Job Title: Databricks Developer
Experience: 5–8 Years
Location: Remote & Hybrid
Job SummaryWe are seeking an experienced Databricks Developer with strong SQL skills and hands-on experience using Microsoft Copilot (or equivalent AI-assisted development tools). The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, supporting analytics workloads, and improving overall data engineering efficiency through automation and AI-driven solutions.
Key Responsibilities- Design and implement scalable data pipelines and ETL workflows using Azure Databricks or similar platforms.
- Develop and optimize complex SQL queries, procedures, and performance tuning for large datasets.
- Leverage Copilot or similar AI-based coding assistants to accelerate code generation, debugging, and documentation.
- Integrate Databricks with Azure Data Lake, Synapse, and other cloud data services.
- Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions.
- Ensure data quality, governance, and security best practices.
- Participate in code reviews and continuous improvement initiatives.
- 5–8 years of hands-on experience in Data Engineering or related roles.
- Strong expertise in Databricks, PySpark, and SQL.
- Experience with Azure or AWS cloud environments.
- Familiarity with AI-assisted coding tools like Copilot, CodeWhisperer, or ChatGPT for coding.
- Solid understanding of data modeling, performance tuning, and distributed computing concepts.
- Experience integrating with data orchestration tools (e.g., Airflow, Azure Data Factory).
- Excellent problem-solving and analytical skills.
- Knowledge of Delta Lake, Unity Catalog, and Lakehouse architecture.
- Exposure to CI/CD and DevOps practices in a data environment.
- Familiarity with Python, Scala, or SQL-based transformations.
- Strong communication and collaboration abilities in an agile team environment.
If you're a data-driven professional passionate about leveraging AI tools to enhance development efficiency, we'd love to hear from you
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