algoseek is growing fast. Really fast. We are set to re-define the financial market data industry, and we expect you to join us in this exciting journey.
As a Data Science Engineer in Content Engineering, you will be responsible for automating our data acquisition, quality assurance, content creation and analytics in a scalable cloud environment. You will leverage these large data sets to improve the quality and extend the scope of algoseek’s existing and next generation products.
Responsibilities
- Ingest and analyze various data sources to drive innovation in content creation
- Automate the acquisition, relevance scoring and storage of incoming sources
- Develop processes for data mining, data concordance and data production
- Explore and evaluate new data technologies to build a scalable, cloud oriented data platform
- Optimize data retrieval, develop dashboards and other visualizations for financial experts
Essential Requirements
- BS or MS in Computer Science or Mathematics
- 2+ years of working experience in software development
- Experience in data engineering or business intelligence or business analytics
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Strong analytic skills related to working with unstructured datasets
Desirable Requirements
- Strong experience and proficiency with Python, Pandas, Numpy and AWS APIs
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
- Experience with modern data platforms such as Spark, Hadoop or other map/reduce big data systems and services
- Experience with a variety of data stores such as ArangoDB, MongoDB, Cassandra, HBase, DynamoDB
- Experience with AWS environment e.g., Amazon Kinesis, AWS Glue, Redshift, EC2, S3, EMR
Advantages
- Awesome coworkers
- Pre-tax health care, dependent care and commuter benefits (FSA)
- Robust wellness program including financial education classes, team-based goal-tracking