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, it's 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. We're looking for people who are excellent at fundamentals, have willingness to learn, and have an unstoppable desire to follow through with the job.
What you'll 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-the-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 we're looking for:
- Strong analytical and problem-solving skills.
- Self-motivated learner.
- Eager to learn new technologies.
- Receptive to constructive feedback.
- Confident and articulate with excellent written and verbal communication skills.
- 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 framework.
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