VS01472 - Data Migration Engineer

E4 Software Services Pvt Ltd.

Mumbai, Pune District, Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A technology company is seeking an experienced data engineer to design and develop scalable data solutions. The ideal candidate has 4 to 8 years of experience with Databricks, AWS, and strong programming skills in Python, PySpark, and SQL. Responsibilities include implementing ETL processes and optimizing data pipelines. This role is suitable for someone who communicates effectively and thrives in a fast-paced environment.

Qualifications

  • 4 to 8 years of experience in Databricks and big data frameworks.
  • Proficient in AWS services and data migration.
  • Certifications such as AWS Certified Solutions Architect or Databricks Certified Professional are a plus.

Responsibilities

  • Design, develop, test, and deploy scalable data solutions using Python and SQL.
  • Implement and maintain ETL processes using Databricks notebooks.
  • Optimize data pipelines for transformation and integration.

Skills

Python
PySpark
SQL
AWS Services
Databricks

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Databricks
AWS Glue
AWS S3

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
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