AWS Databricks Engineer

Software Development:

• Design, develop, test, and deploy high-performance and scalable data solutions using Python, PySpark, SQL
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Implement efficient and maintainable code using best practices and coding standards.

AWS & Databricks Implementation:

• Work with Databricks platform for big data processing and analytics.
• Develop and maintain ETL processes using Databricks notebooks.
• Implement and optimize data pipelines for data transformation and integration.
• Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
• Leverage PySpark for large-scale data processing and transformation tasks.

Continuous Learning:

• Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks.
• Share knowledge with the team and contribute to a culture of continuous improvement.

SQL Database Management:

• Utilize expertise in SQL to design, optimize, and maintain relational databases.
• Write complex SQL queries for data retrieval, manipulation, and analysis.

Qualifications & Skills:

• Education: Bachelors degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
• 4 to 8 Years of experience in Databricks and big data frameworks
• Proficient in AWS services and data migration
• Experience in Unity Catalogue
• Familiarity with Batch and real time processing
• Data engineering with strong skills in Python, PySpark, SQL
• Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment.