VS01472 - Data Migration Engineer

E4 Software Services Pvt Ltd.; Mumbai, Pune District, Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A software development company in Mumbai is looking for a Data Engineer to design and deploy scalable data solutions using Python, PySpark, and SQL. The ideal candidate will collaborate with teams to implement AWS and Databricks for optimized data processing. Candidates should have 4-8 years of experience and possess strong problem-solving skills. Certifications in AWS and Databricks are advantageous.

Qualifications

• 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.
• Certifications: AWS Certified Solutions Architect, Databricks Certified Professional.

Responsibilities

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

Skills

Python

PySpark

SQL

AWS Services

Databricks

Data Migration

Education

Bachelor’s degree in Computer Science, Engineering, Data Science

Advanced degrees

Job description

Responsibilities

• 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.
  • 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