Responsibilities
- Analyze and organize raw data
- Create and maintain optimal data pipeline solutions
- Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability
- Provide actionable insights into customer delivered data, operational efficiency and other key business performance metrics.
- Optimise and improve our existing data products.
- Evaluate business needs and objectives
- Manage and maintain existing data platforms
- Data Preparation and data delivery responsibilities
- Conduct complex data analysis and report on results
- Build algorithms and prototypes
- Explore ways to enhance data quality and reliability
- 1 to 3 years of experience as a data engineer or in a similar role
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge of programming languages in Java and Python is a must
- Hands-on experience with SQL query and database design
- Expertise in AWS services EMR, RDS, Athena, S3,Data Pipeline, Redshift, Glue.
- Experience with big data tools: Spark, Kafka
- Great numerical and analytical skills
- Degree in Computer Science, IT, or similar field; a Master’s is a plus
- Data engineering certification is a plus
- Work From Anywhere(Remote work)
- Great Opportunity for Personal and Professional Development
- You will have the opportunity to work internationally, with an international team, and international clients
- You will have the chance to work on solving problems in Data-as-a-Service and AI sectors
- You will have the great opportunity to work in a high growth start-up culture
- You will get the opportunity to work with the top 8 of 10 tech companies in the US
Quadrant