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Senior Python Developer

India
Python.Data, Amazon Web Services, CI/CD, SQL, Python, Design System Foundations, Amazon DynamoDB, Apache Hive, Apache Spark, Data Software Engineering, Databricks
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Sorry, this position is no longer available

We are seeking a driven, detail-oriented Senior Python Developer to join our remote team. As a Senior Python Developer, you will be responsible for building and maintaining complex data pipelines, working with Spark and Hive data processing frameworks, and developing microservices and CI/CD pipelines.

Responsibilities
  • Develop and maintain complex data pipelines using Spark and Hive data processing frameworks
  • Collaborate with cross-functional teams to design, develop, and deploy microservices and CI/CD pipelines
  • Write and optimize SQL queries to improve database performance and accuracy
  • Create and maintain technical documentation, including architecture diagrams and data flow diagrams
  • Work closely with the data governance team to ensure compliance with data security and privacy regulations
  • Participate in code reviews and provide feedback to other developers on best practices and coding standards
  • Troubleshoot and debug issues in the data pipeline and microservices architecture
  • Design and develop data models to support business requirements
Requirements
  • At least 3 years of experience in Python development, with a focus on data engineering
  • Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or a related discipline
  • Extensive experience with SQL, including writing complex queries and optimizing database performance
  • Experience with test-driven development and writing unit testing cases using mock frameworks, such as Pytest or unittest
  • Familiarity with data orchestration tools, such as Airflow, and data modeling
  • Extensive knowledge of Spark and Hive data processing frameworks, including developing and maintaining data pipelines
  • Experience with AWS cloud components, such as EC2, S3, Lambda, DynamoDB, SQS, and RDS
  • Good understanding of data structures and algorithms
  • Upper-intermediate or higher level of spoken and written English proficiency
Nice to have
  • Knowledge and experience of CI/CD processes, including unit testing, code coverage, and code quality metrics
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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