Job Summary:

We are seeking a skilled Senior Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.

Job Responsibilities

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: Bachelor s 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.

Career Level - IC2

Job Responsibilities

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.