Description:

• 5+ years of experience coding in Python, SQL with solid CS fundamentals including data structure and algorithm design
• 3+ years contributing to production deployments of large backend data processing and analysis systems
• 3+ hands-on experience with Amazon QuickSight
• 2+ years of experience in AWS data platforms
• Amazon Quicksight, AWS, Databricks, DynamoDB, Kinesis
• Knowledge of professional software engineering best practices for the full software
• Knowledge of development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience participating in an Agile software development team, e.g. SCRUM
• Experience designing, documenting, and defending designs for key components in large distributed computing systems
• A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects
• Demonstrated ability to learn new technologies quickly and independently
• Ability to handle multiple competing priorities in a fast-paced environment
• An undergraduate degree in Computer Science or Engineering from a top CS program is required. Masters preferred
• Collaborative, willing to help, talkative, able to clearly express and discuss ideas
• A curious mind and willingness to work with clients in a consultative manner to find areas to improve
• Good analytical skills
• Good team player, motivated to develop and solve complex tasks
• Self-motivated, self-disciplined and result-oriented
• Strong attention to details and accuracy
• English - Upper-Intermediate+
• Location - Europe, India, Pakistan

• Hands-on implementation experience working with a combination of the following technologies: Spark, Kinesis, DynamoDB. Experience with Spark or Databricks Lakehouse Platform
• Experience in data science and machine learning implementation
• Experience in backend development and deployment
• Experience in CI/CD configuration

• Building customer-facing data reports with QuickSight
• Participate in shaping client’s data architecture, designing and building scalable data services
• Create and manage databases and warehouses (MySQL, Snowflake, DynamoDB, Databricks Lakehouse)
• Implement new, near real-time streaming pipelines
• Automate the infrastructure (AWS, Terraform, CDK). Implement complicated CI deployment scenarios
• Scheduling complex data flows with Airflow or dbt
• Responsible for performance tuning of complicated SQL queries and architecture and tuning of NoSQL implementations and Data flows
• Identify gaps and improving the platform’s quality, robustness, maintainability, and speed
• Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members.
• Contribute in CoE activities and community building, participate in conferences, provide excellence in exercise and best practices

• The full-time workload on a remote basis
• Start - ASAP
• Duration - 6+ months
• Rate - worthy reward based on your skills and experience