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senior python data developer

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Python.Data, Amazon Web Services, CI/CD, Databricks, Elasticsearch, NoSQL Databases, Python, SQL, Amazon DynamoDB, Apache Hive, Apache Spark, Data Software Engineering, Redash
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Sorry the job is no longer available.

Join our remote team as a seasoned Python Data Developer, leveraging extensive expertise in cloud technologies and SQL.

As a pivotal Senior Developer, you will spearhead the creation and deployment of groundbreaking data solutions, collaborating with a group of skilled developers. Your focus will be on delivering top-notch software, fostering collaboration, and nurturing a growth-oriented environment.

responsibilities
  • Architect and craft data processing pipelines, implementing scalable and efficient solutions for data manipulation and analysis
  • Develop and sustain REST APIs, ensuring seamless integration with diverse systems
  • Work closely with fellow developers and stakeholders to guarantee that all data solutions align with specified requirements
  • Write Python code that is clean, efficient, and maintainable, optimizing backend system performance
  • Tackle intricate problems, offering scalable and high-performing solutions to enhance overall functionality
  • Ensure backend systems adhere to customer infrastructure and security standards, following industry best practices
  • Spearhead the development of data warehousing solutions, facilitating efficient storage and retrieval of extensive data volumes
  • Leverage Amazon SQS for effective message queueing and processing
  • Monitor and enhance the performance of data processing systems within the AWS environment
  • Implement rigorous unit testing and debugging practices to fortify the reliability and functionality of the software
requirements
  • A minimum of 3 years of Python development experience, with a robust foundation in data software engineering principles and best practices
  • Proficient in developing and maintaining cloud-based solutions using Amazon Web Services (AWS)
  • Mastery of SQL and NoSQL databases, with hands-on experience in Amazon DynamoDB, Elasticsearch, and Apache Hive
  • Familiarity with data processing frameworks such as Apache Spark and Databricks for efficient data manipulation and analysis
  • Expertise in developing and maintaining REST APIs, facilitating seamless integration with diverse systems
  • Proficiency in microservice architecture patterns, with a profound understanding of their advantages and limitations
  • Familiarity with Redash for effective data visualization and reporting
  • Advanced English language skills (Upper-Intermediate level) for effective communication with the team and stakeholders
nice to have
  • Experience with Flask for developing REST APIs
  • Strong background in unit testing and debugging
  • Proficiency in continuous integration and delivery (CI/CD) to ensure high code quality and efficiency

These jobs are for you

benefits for locations

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For you
  • Insurance Coverage 
  • Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. 
  • Financial assistance for medical crisis 
  • Retiral Benefits – VPF and NPS 
  • Customized Mindfulness and Wellness programs 
  • EPAM Hobby Clubs
For your comfortable work
  • Hybrid Work Model 
  • Soft loans to set up workspace at home 
  • Stable workload 
  • Relocation opportunities with ‘EPAM without Borders’ program

For your growth
  • Certification trainings for technical and soft skills 
  • Access to unlimited LinkedIn Learning platform 
  • Access to internal learning programs set up by world class trainers 
  • Community networking and idea creation platforms 
  • Mentorship programs 
  • Self-driven career progression tool

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