Senior Data Engineer Machine Learning / Speech Analytics / NLU
San Francisco, CA
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Id : 23278
23278 Senior Data Engineer Machine Learning / Speech Analytics / NLU
Our client is a rapidly growing, well-funded, startup in downtown San Francisco and an industry leader in speech analytics. Clients like Twilio, Amazon Web Services, Cisco, Nasdaq, and C-Span are already optimizing their sales through their enabled, predictive insights. Business intelligence and analytics is going to be a 20 billion dollar industry by 2018 and is already one of the most profitable, fastest growing sectors of tech.
Harnessing the power of big voice , they are gaining traction in the market, doubling volume every quarter, and looking to expand their team to scale growth. Launched by experienced and successful startup leaders and backed by reliable investors, we are searching for top talent to join our client s dedicated team of engineers.
What are we building?
Cloud-scale APIs for speech recognition, natural language processing, and predictive analytics.
Highly scalable, distributed microservices that run across 10,000 CPU cores in an architecture designed for 1 billion minutes per month.
A seamless developer experience and showcase UX for voice/speech analytics applications.
What will you be working on?
A new product line from the ground up. You will be making our speech analytics easily accessible to business analysts, data scientists, and executives in organizations large and small.
Our client s platform provides deep insight for voice data. The products you build will transform, aggregate, and refine it for easy consumption by familiar business intelligence (BI) tools, visualization platforms, and reporting suites.
You will use gold-standard data technologies such as Spark, Elastic, ETL, and Data Warehousing to expose new data sets at scale for reporting and interactive exploration.
Who are you?
A Senior Data Engineer who has built real-world, robust, data platforms that can handle the volume, velocity, and variety needs of a fast-growing business.
What will your responsibilities be?
Building ETL pipelines.
Ensuring scalable, interactive search capabilities.
Representing data in Elastic, Spark, and Data Warehouses for fast performance and high throughput on high-complexity queries.
Writing clean, concise, readable code.
Working with peers who provide direct and open design feedback.
What makes you qualified?
Experience building data platforms at scale.
Strong understanding of Spark, Elastic, Kafka, and ETL.
Comfortable reading and improving Java code.
Relational, Data Warehouse, and noSQL schema design.
In addition to a competitive salary, 401K, full health benefits, and unlimited PTO, we offer an incredibly generous equity package, a vibrant office culture, work-life balance, all the snacks you can imagine, beers on Fridays, group activities, and best of all a highly talented and diverse team to collaborate and grow with.
You will lead teams and projects, have immense ownership over your work, be at the forefront of innovation, practice and learn exceptionally marketable skills in a tech-focused company, work in a high-performing team, and be an integral contributor to a powerful platform.