Address
SalaryDescription
Staff Data Engineer, Content Intelligence Bengaluru Engineering Engineering - General / Full-time / Hybrid About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards.
The result is smarter shopping:
loyal customers, increased sales, and improved products.
The problem we are trying to solve :
Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.
Our brand promise :
closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.
Its official:
Bazaarvoice is a in the , , , Lithuania, France, Germany and the ! Our teams create Bazaarvoice products that help companies understand the competitive positioning of their products. A big area of business growth for Bazaarvoice will come from the efforts of our data teams. Across more than 11,500 of the worlds leading brands and retailers, Bazaarvoice sees more 11 million reviews, images and questions added each month across millions of products. Our data teams leverage these data sets to help our brand and retail clients build better products, build stronger relationships with their shoppers, and make decisions on when and where to offer products. Bazaarvoice provides consumer generated content to over 700 million devices and billion unique users every month.
That content is hosted and collected on over 5000 brand and retail websites around the world.
Our Mission:
build smarter shopper experiences across the entire customer journey. Were looking for candidates who want to build software that impacts over 500 million users, helping them make smart buying decisions, work with TB-scale datasets and globally distributed systems. We are looking for a talented Software Engineer to design, build, and maintain scalable, big data pipelines. The position will focus on building and improving services that make it easier for internal teams to harness the power of existing data pipelines to keep data flowing through Bazaarvoice systems to support client use cases. Essential Skills MSc in Computer Science or equivalent (education or work based) 8 years building software in a commercial environment (preferably SaaS) 5 years of experience with highly scalable distributed systems using open source tools. 2 years working with large data sets using Map/Reduce (AWS EMR experience preferred) 4 years experience with one or more of the following Java, Scala, C#, or similar language Working knowledge of at least one scripting language PHP, Python, Bash, JavaScript, etc. Demonstrated experience with Hadoop AWS experience including one or more of the following Cloud Formation, EMR, S3, EC2, Cloud Trail, etc. Experience in the design, implementation, and support of major components of an analytics solution. Able to demonstrate software engineering fundamentals such as OO design, unit testing, code reuse, code reviews Desired Criteria Experience with Storm or Spark Working with TB size data sets Performing large-scale analytics using Map/Reduce Demonstrated experience in the design and development of large scale, performant, and fault tolerant applications Experience in defining data to be captured, how it would be aggregated, and how to implement those mechanisms Experience and passion in working on agile teams using Scrum, Kanban, or similar Experience building large-scale data processing systems with extensive knowledge in data warehousing solutions.
This includes developing prototypes and proof-of-concepts for the selected solutions. Familiarity withone or more big-data infrastructures such as Hbase, Hadoop, Mongo, Casandra, or RDBMS. An understanding and experience building high-performance algorithms. #LI-Hybrid #LI-SR1 Why join Bazaarvoice? Customer is key We see our own success through our customers outcomes. We approach every situation with a customer first mindset. Transparency & Integrity Builds Trust We believe in the power of authentic feedback because its in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. Passionate Pursuit of Performance Our energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because were laser focused on our mission. Innovation over Imitation We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage. Stronger Together We bring our whole selves to the mission and find value in diverse perspectives. We champion whats best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities.
Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the worlds smartest network of consumers, brands, and retailers.
