Software Engineer (Data Engineering)

About Demandbase:

Demandbase is the Smarter GTM company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The resultYou spot opportunities earlier, engage with them more intelligently, and close deals faster.

As a company, we re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area.

Were committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, were increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

About the Role:

Demandbase is seeking creative, highly motivated, enthusiastic engineer individuals to be part of our product development team. You will work in a fast paced agile environment to build and deliver key features of the application. This is a great opportunity to work with a talented, high energy and creative team focused on building a world-class product. Our technology stack is primarily in Java/Javascript and while experience with these languages is great, its not a necessity. Demandbase engineering focuses on fundamentals, not the tools/languages that you already know.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let s move the world forward, together. Were looking for people who are excellent at fundamentals, have willingness to learn, and have an unstoppable desire to follow through with the job.

What youll be doing:

• Design, Model and Implement data analysis and analytics solutions.
• Be a hands on individual contributor for data projects in high-level design, analysis, experiments, data architecture and data modeling.
• Support ETL pipeline modules - by designing state of art transformations, data cleaning, matching , reports/dashboards and statistical analysis
• Hands on with analysis techniques - segmentation, regressions, clustering, data profiling to analyze trends and report key performance indicators.
• Team player to build large scale, high availability, fault tolerant data analytics platform - Apache Spark ecosystem, Data Visualization and Advanced Analytics.
• Work closely with cross functional teams in an Agile environment

What were looking for:

• You are a strong analytical and problem solving skills
• You are self-motivated learner
• You are eager to learn new technologies
• You are receptive to constructive feedback
• You are Confident and articulate with excellent written and verbal communication skills
• You are open to work in small development environment

Skills Education:

• Bachelor s or master s degree in computer science, Mathematics, Statistics from a top engineering institution.
• Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis.
• 4+ years of Data Engineering experience in building enterprise data/analytics solutions.
• Data stewardship to continually improve the quality of data and information including accuracy, integrity , relevance to the business.
• Strong practical experience in Databases, Advanced SQL Python/R.
• Very good understanding of Data strategies, articulate data analysis data model design and evolve data products according to business requirements.
• Benchmark data systems, Analyze workflow bottlenecks and propose robust data solutions to eliminate them.
• Good to have experience in designing/implementing ETL data pipelines using open source platforms.
• Good to have exposure to big data emerging technologies like Hive, Red Shift (DWH), Hbase, Apache Spark and integration with enterprise visualization frameworks.