Posted:1 month ago|
Platform:
Remote
Full Time
Responsibilities: • Design, develop, test, and maintain a custom product focused on business processes and business data. • Design databases aligned with logical data models and optimized for analytics and performance needs. • Integrate data from multiple source systems through APIs and direct data connections. • Implement business rules for data transformation and validation. • Implement custom ETL pipelines for efficient data processing and transformation. • Develop frontend features using modern frameworks for a rich user experience to execute business processes. • Forward integrate transformed data with business analytics tools such as AWS QuickSight and Power BI. • Work closely with business operations stakeholders and analytics teams to define and refine requirements. • Ensure code quality through testing, code reviews, and best practices. Requirements: • Software Engineer with 5 to 8 years of experience in full-stack development with a focus on data engineering. • Proficiency in backend programming languages like Lua and Python (any programming language) for ETL and data transformation. • Experience in setting up ETL pipelines / jobs using schedulers like cronjobs. • Experience with scripting languages like shell scripting. • Experience with frontend technologies: HTML, CSS, JS, Jquery. • Strong SQL skills for querying and processing structured data. • Familiarity with cloud services (AWS, GCP, or Azure) for data storage and computing. • Experience in working with APIs for data integration. • Knowledge of DevOps practices and CI/CD pipelines. • Strong problem-solving skills and ability to work in a fast-paced environment.
Agile Dna
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