Java
Data AnalyticsWho We are?
At e6data (https://e6x.io/" target="_blank">https://e6data.io) we’re building core algorithms that make querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on computing/infra, and new use cases become possible.
Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real-time databases, time-series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second-time founders with past exits.
We are passionate about solving the deepest and most important problems in computer science and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end-user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real-time).
What you will do?
- Write awesome code
- Your primary focus will be on building our product around our core algorithms. You will collaborate with our Performance Engineering and DevOps teams.
- Identify tactical and long-term product improvements (could be code, script, etc.) so that e6data development is based on frictionless onboarding of customers
- Build our internal Data Platform using e6data
- Adding scalable functionality to the core e6data engine for new features like UDFs, SQL functions, etc
What we are looking for?
- Worked with Java for a minimum of 4 years
- Knowledge of SQL Query planning will also be good to have
- A passion for continuous learning and growth (both at a personal and team level)
- Strong team player
- Experience (or enjoys) working in a startup will be an added advantag
Subodh Popalwar
Software Engineer, Memorres
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Software Engineer, Memorres