Cobblestone seeks to generate value through extensive research and advanced data analytics. We evaluate opportunities in the market to drive profitable decision making with strong risk management. We buy and sell enough electricity every day to power a whole country. Our team uses quantitative and proprietary analytics to understand the state of the Electricity system and the market as a result. This requires a lot of innovation and the ability to make sense of data. More
Description
Tasks:
Gather and address technical and design requirements.
Architect the data platform & develop real-time apps ingesting large volume of data and processing messages real-time.
Handle all the data pipeline and contribute towards our data strategy and its execution.
Architecting, building, testing & managing our data platform infrastructure from data collection all the way to data processing & data storage.
Develop, customize and manage integration tools, monitoring tools, databases, warehouses, and analytical systems.
Support the developers through training and transfer of knowledge.
Participate in the entire application life-cycle mainly focusing on coding, debugging, and testing.
Must-have:
BSc degree in Computer Science/Computer Engineering. Masters is a plus.
Strong competencies in algorithms and software architecture.
3+ years of experience in Python.
2+ years of experience as a Data Engineer.
Strong experience in real-time data processing and data ingestion.
Strong experience in batch data processing and data pipelines.
Strong work experience in AWS Kinesis Services and building apps utilizing it is a must.
3+ years of experience in developing APIs (REST & SOAP protocols).
2+ years of experience in using AWS cloud and its resources/services.
Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases (Mongo DB or Cassandra. etc.)