Role : Databricks Developer

Key Responsibilities

- Design, develop, and deploy scalable data pipelines and ETL processes using Databricks.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
- Optimize Spark jobs and ensure efficient data processing and storage.
- Develop and maintain Databricks notebooks, workflows, and dashboards.
- Implement best practices for data governance, security, and quality within the Databricks environment.
- Troubleshoot and resolve data pipeline issues and performance bottlenecks.
- Monitor and manage data processing jobs to ensure high availability and reliability.
- Work with cloud platforms such as AWS, Azure, or Google Cloud to integrate Databricks with other services.
- Stay current with the latest Databricks and big data technologies and trends.

Required Qualifications:
- Proven experience with Databricks, Apache Spark, and big data processing frameworks.




- Strong proficiency in programming languages such as Python, Scala, or SQL.
- Proficient in working with PySpark.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, ADLS, Redshift, BigQuery).
- Experience with Deltalake concepts.
- Familiarity with data warehousing concepts and solutions.
- Knowledge of data modeling, data architecture, and ETL processes.
- Solid problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.

Preferred Qualifications:
- Certifications in Databricks, Spark, or cloud platforms.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning frameworks and data science principles.
- Familiarity with DevOps practices and tools for CI/CD.

📌 Senior Software Development Engineer (Bengaluru)
🏢 Mresult Technologies
📍 Bengaluru