Data Engineer – Trading System – Global

Amber Group is a leader in digital asset trading, products and infrastructure. We work with companies ranging from token issuers, banks and fintech firms, to sports teams, game developers, brands and creators. Operating at the center of markets, we act as liquidity providers, miners and validators on all major exchanges, applications, and networks. Across all products and categories, we have turned over >$1T in volumes since inception. Our mission is to make our digital future a reality and shape it to be fair, inclusive, and kind.Our people are both dreamers and doers – a self-driven, entrepreneurial community who are believers in the power of decentralized networks. We collaborate across teams and regions, promoting a culture that is open, transparent, respectful and inclusive.Our businesses1. Institutional financial services, helping 1,000+ asset managers, hedge funds, corporates, and family offices invest in digital assets via API and our OTC desk.2. Consumer financial services with millions of customers investing in digital assets via our award-winning mobile app and web platforms.3. The emerging digital creator economy including gaming tokens, digital art, sports collectibles, and social tokens.At Amber Group, you will have the opportunity to work with innovative and entrepreneurial people, solve meaningful problems, accept challenges, and become experts in frontier fields. We strive to take care of our people, providing competitive incentives, benefits and rewards. 

Role and Responsibilities:

    • Help Govern/manage the data storage and data used for research and analysis by the various trading teams globally
    • Work closely with Traders and Researchers to determine appropriate data sources, and implement processes to onboard and manage new data sources for analysis to unlock future trading opportunities
    • Design and develop data solutions to help acquire, organize, manage, and control the quality of data sets to address the needs of various trading teams and strategies
    • Design and Develop data analysis tools to enable Portfolio Managers and Traders to optimize existing trading strategies and more easily formulate new trade ideas
    • Continually monitor data ingestion pipeline and data quality to ensure stability, reliability, and quality of the data

Requirements:

    • 5+ years of database, ETL, and process monitoring experience working with financial markets data
    • Prior experience developing data quality control processes to detect data gaps or inaccuracies
    • Strong technical problem-solving skills
    • Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle the demands of a trading environment
    • Familiarity with various database designs and their tradeoffs (Relational, Columnar, NoSQL, etc.)
    • Experience with SQL query construction and SQL optimization
    • Python coding requiring a basic Python coding skills test
    • Familiarity with a large scale data processing engine such as Presto, Spark, Dask, or similar
    • Familiarity with Amazon Web Services or other cloud providers

Preferred Skills:

    • Python programming skills: Pandas, Jupyter Notebooks, Numpy, and SciPy
    • Prior experience with RDMS techniques: stored procedures, table functions, partitioning, or advanced SQL
    • Prior experience with AWS services such as S3, Athena, CloudWatch, SageMaker
    • Familiarity with compressed/optimized file formats for data storage such as Parquet and HDF5
    • Prior experience working with R, Matlab, or Tableau
    • Prior experience developing REST, GraphQL, or OData services
    • Prior experience with Java, Scala, C++, Rust, Go, or a systems programming language

Amber Group opens its doors to the curious problem solver empowered to make an impact in shaping tomorrow. As a hyper-growth company since day 1, we continually invite talent to join our diverse, nimble and digitally-native teams. If this sounds like you, apply now, or get in touch with us today at .