Crypto Data Engineer (Pakistan- Remote)
Job Summary
Astra DAO is looking for a versatile Big Data Engineer to support the Data Scientists and Engineering team by utilizing a mix of tools and techniques involving SQL, Python, R, Java, and C++. The role involves applying machine learning to establish data analysis structures while keeping abreast of programming and deployment methods. Collaborating with colleagues to align approaches with project requirements is essential.
Key Responsibilities
- Communicating with team members and clients to clarify project needs.
- Designing and developing infrastructure to enable access and analysis of big data.
- Enhancing existing frameworks for better functionality.
- Testing and validating structures to ensure usability.
- Constructing data pipelines from diverse sources using varied data formats such as API, CSV, JSON, etc.
- Preparing raw data for analysis by Data Scientists.
- Implementing sound data validation and reconciliation practices.
- Maintaining data backups and easy accessibility for team members.
- Staying updated on industry trends and tech developments for enhanced output quality.
Requirements
- Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or similar field.
- A Master's degree in a relevant area is a plus.
- Minimum 3 years of experience in Python, Java, or another programming language.
- Proficiency in SQL & No-SQL (Experience with Snowflake Cloud DW & MongoDB preferred).
- Knowledge of schema design and dimensional data modeling.
- Expertise in SQL, NoSQL, Python, C++, Java, R.
- Experience in building Data Lake, Data Warehouse, or equivalent.
- Proficient in AWS Cloud platform.
- Strong analytical and problem-solving abilities.
- Self-reliant and team player with good task management skills.
About Astra DAO
Astra DAO is an automated crypto asset allocator on Ethereum, offering advanced investment strategies to retail investors. The platform simplifies passive investing with a variety of Crypto Indices, aiming to empower retail traders against quantitative investment funds through smart investment decisions.