As a Staff Data Engineer, you will design and manage Kafka Streams applications and perform data enrichment for streaming use cases, ensuring application stability and performance.
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.
It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK!
About the team
You will be part of a highly skilled distributed team that takes care of the data enrichment platform responsible for data enrichment pipelines and for supporting streaming use cases for clients and search partners. The team primarily involves generating large-scale datasets for exporting to internal and external consumers. The team is also responsible for next-gen real-time streaming rule-processing data enrichment platform based on Apache Kafka Streams.
How you will make an impact
· Design, develop, document, and architect Kafka Streams applications.
· Working with product owners, developers, devops and QA applying an end-to-end quality mindset to ensure the highest degree of stability and performance.
· Design, develop, and manage Kafka-based data pipelines
The must have skills that matter
· Overall of 10+ years of work experience , developing scalable applications.
· 4+ years of Scala/Java Development experience with/Kafka streams & Apache Kafka ecosystem.
· 2+ years of past experiences with streaming platforms with spark/scala/kafka.Exposure to any Nosql Database.
· Good knowledge of multi-threading and concurrency.
· Exceptional experience working within cloud technologies such as AWSAbility to work with huge volumes of data so as to derive Business IntelligenceIn-depth knowledge of database principles, structures, practices, and theories.
· Ability to Drive Technical Stories and drive team to successful Deliveries.
Desired Skills:
· Experience working with large-scale datasets.
· Strong understanding of messaging paradigms, event-driven architectures, and microservices.
· Experience with distributed computing, parallel processing, and cluster management.
· Understanding of Python or other scripting languages is a plus.
· A drive and ability to succeed and push others to success.
· Strong experience mentoring others on a quality mindset and approach.
· Desire to grow and take ownership of work.
· Aren't afraid to take on less glamorous work if it helps the team accomplish their mission.
· Experience with Agile or Kanban / Lean software development methodologies
Why You’ll Love Working with Us?
· Work with cutting-edge tech in an innovative, collaborative environment.
· Competitive salary + good benefits (insurance, annual leave, bonuses, referral rewards, and more).
· We’re Great Place to Work Certified (3 years in a row!).
· Hybrid work model (3 days in office – Global Technology Park, Bellandur).
Interview Process
· Tech Round 1: Coding interview with our team.
· Tech Round 2: System design discussion.
· Hiring Manager Meeting: Team, values & culture check.
· Final Round: Chat with HR/Senior Leadership.
Ready to take on the challenge? Apply now!
#LI-DNI
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 it’s 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 we’re 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 what’s 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 world’s smartest network of consumers, brands, and retailers.
Top Skills
Apache Kafka
AWS
Java
Kafka Streams
NoSQL
Python
Scala
Spark
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