• Build, maintain and scale efficient data infrastructure, ETL, and reporting pipelines
• Work with data scientists and machine learning engineers in getting ML and deep learning models to production-ready
• Investigate and research data quality and integrity from data sources
• Develop and maintain analytics platform, business intelligence, and experimentation tools
• Develop and maintain a scalable platform for tracking business intelligence, build for reliability and redundancy
• Manage data collection and organize the models, and also forecast the future needs
• Coach and mentor junior data engineers to be more effective individual contributors

Hard Requirements

• Fluent in Python or a similar programming language
• Experience in data engineering tools like Hadoop, Spark, BigQuery, Airflow, etc.
• Experience in deploying and scaling ML models. Plus point for deploying and scaling deep learning models.
• Data-driven and passionate about solving problems through data
• Inquisitive and curious to delve deep into data to investigate trends or anomalies
• Detail oriented and be able to work efficiently in a fast-paced team environment
• Keen on data technologies and picking up new skills and tools along the way
• Strong critical thinking and ability to frame issues in a logical manner