At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community, and powerful enterprise technology, we connect thousands of brands and retailers with billions of consumers globally. Our solutions empower brands to gather, analyze, and distribute high-quality user-generated content (UGC) such as ratings, reviews, photos, and video sat an unprecedented scale.

Our vast retail, social, and search syndication network ensures this content reaches consumers wherever they shop. With intuitive tools and real-time insights dashboards, we help brands make data-driven decisions that result in smarter shopping, increased sales, higher loyalty, and better products. The Problem We Solve Brands struggle to build meaningful and trustworthy connections with consumers. Delivering authentic, relevant content at the right moment is difficult and without it, brands risk losing potential customers and wasting effort on ineffective content strategies.

Bazaarvoice closes this gap through data, technology, and global reach. Our Promise Closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas, with offices across North America, Europe, Asia, and Australia. Were proudly Great Place to Work Certified in multiple regions including the US, India, Australia, Germany, France, Lithuania, and the UK.

About the Team :

Youll join a highly skilled distributed Product Engineering team responsible for our Data Enrichment Platform, which powers the generation, transformation, and delivery of large-scale datasets for internal systems, retail partners, and major search engines. This team works on : High-volume data ingestion and enrichment workflows Hadoop/Spark-based pipelines processing billions of data points Bulk data export pipelines for clients and integration partners Tools that ensure enriched, validated content is delivered reliably and at scale We value engineers who are hands-on, curious, collaborative, and eager to dive into complex, data-intensive problems.

How Youll Make an Impact :

- Design, develop, and maintain big data applications, ensuring scalability, performance, and reliability across distributed systems.

- Own the architecture, documentation, and implementation of end-to-end data pipelines from ingestion to processing to downstream delivery.

- Build highly optimized MapReduce, Spark, and Kafka-based pipelines capable of processing large datasets efficiently.

- Ensure quality through unit testing, functional testing, monitoring, and data validation frameworks.

- Partner closely with product managers, developers, QA, and DevOps teams to deliver robust solutions.

- Optimize Hadoop jobs, pipeline execution, cluster usage, and data workflow orchestration.

- Implement data quality checks, schema evolution handling, and error recovery strategies.

- Contribute to continuous improvement around system reliability, observability, performance, and cloud scalability.

Must-Have Skills :

- 4+ years of Java development experience, especially within Hadoop/Big Data ecosystems.

- 2+ years of experience working with streaming or distributed processing frameworks (Spark, Scala, Kafka).

- Strong knowledge of Hadoop concepts (MapReduce, HDFS, YARN, Tez).

- Experience developing and tuning MapReduce Jobs for large-scale clusters.

- Exposure to NoSQL technologies (HBase, Cassandra, DynamoDB, MongoDB, etc.).

- Solid experience with AWS cloud services EMR, EC2, S3, Lambda, Glue, Step Functions, or equivalent.

- Strong debugging skills, performance tuning capabilities, and understanding of distributed systems.

Desired Skills :

- Proficiency with Python, bash, or other scripting languages.

- Experience performing data analysis and deriving insights from large datasets.

- Understanding of orchestration tools like Airflow, Oozie, or AWS Step Functions (nice bonus).

- Hands-on experience with Agile, Kanban, or Lean methodologies.

- Familiarity with CI/CD pipelines, containerization (Docker), or observability tools.

Why Youll Love Working With Us :

- Work with cutting-edge data technologies in a highly innovative environment. Competitive salary + strong benefits (medical insurance, annual leave, bonuses, referral rewards, and more).

- Great Place to Work Certified (3 years in a row!).

Why Join Bazaarvoice?

Customer is key Transparency & integrity build trust Passionate pursuit of performance Innovation over imitation Stronger together Commitment to Diversity & Inclusion We offer equal employment opportunities and foster an inclusive culture that values diverse perspectives.