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Staff Data Engineer - Full Stack

 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!


How you will make an impact:

Work on our data engineering platform to help launch new data pipelines and improve current data workflows and toolsets. Review data transformations and pipeline changes made by others for accuracy prior to deployment. Participating in team sync ups.


The must have skills that matter:

8-12 years of experience with Python, SQL

Advanced analytical and problem-solving skills

Experience with cloud platforms such as AWS, Azure, or Google Cloud

Experience working with ETL tools such as Airflow, Talend, or AWS Glue

Experience working with Spark or other analytics engine


Why You’ll Love Working with Us?

- Work with cutting-edge technology in a collaborative, global team

- 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).


Benefits:

Group Health Insurance, Group Personal Accident, Group Term Life.

Paid Time Off options, including Annual Leaves, Casual Leave and declared holidays.

Annual Performance Bonus and Sales Incentive for eligible positions.

Referral bonus program.


If this sounds like you, lets connect!


#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 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.

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What You Should Know About Staff Data Engineer - Full Stack, Bazaarvoice

Join Bazaarvoice as a Staff Data Engineer - Full Stack in Bengaluru, where you will play a pivotal role in revolutionizing shopping experiences for consumers around the globe. At Bazaarvoice, we serve thousands of brands and retailers, connecting them with billions of consumers through our innovative technologies. As part of a dynamic team, you’ll work on our data engineering platform to launch new data pipelines while improving existing data workflows and tools. Your responsibilities will include reviewing data transformations and ensuring accuracy before deployment, alongside participating in team sync-ups that foster collaboration and creativity. We are seeking someone with 8-12 years of experience in Python and SQL, strong analytical and problem-solving skills, and familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of ETL tools such as Airflow or Talend, along with experience in Spark, is essential for succeeding in this role. At Bazaarvoice, you’ll be part of a Great Place to Work-certified company, where competitive salaries, health benefits, and a hybrid work model enhance your work-life balance. Embrace your passion for performance and innovation, and make a real impact in connecting brands with their consumers. If you’re ready to thrive in a supportive, forward-thinking environment, let’s connect!

Frequently Asked Questions (FAQs) for Staff Data Engineer - Full Stack Role at Bazaarvoice
What are the key responsibilities for the Staff Data Engineer - Full Stack at Bazaarvoice?

As a Staff Data Engineer - Full Stack at Bazaarvoice, you will be responsible for developing new data pipelines and optimizing current data workflows. You'll participate in code reviews to ensure data transformations are correct and collaborate with team members during regular sync-ups, playing a critical role in enhancing data accuracy and operational efficiency.

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What qualifications are required for the Staff Data Engineer - Full Stack at Bazaarvoice?

To qualify for the Staff Data Engineer - Full Stack position at Bazaarvoice, you should possess 8-12 years of experience with Python and SQL. Advanced problem-solving skills and experience in cloud platforms such as AWS, Azure, or Google Cloud are also essential, along with familiarity with ETL tools like Airflow or AWS Glue and knowledge of analytics engines like Spark.

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What technologies will I work with as a Staff Data Engineer at Bazaarvoice?

At Bazaarvoice, you will utilize a range of technologies, including Python and SQL for backend processes, cloud platforms such as AWS and Azure for hosting services, and ETL tools like Airflow and Talend for data integration. Familiarity with analytics engines like Spark will also be beneficial for analyzing large datasets effectively.

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What is the work culture like for a Staff Data Engineer at Bazaarvoice?

The work culture at Bazaarvoice is collaborative and innovative, with a strong emphasis on diversity and inclusion. As a Staff Data Engineer, you will enjoy a hybrid work model, competitive benefits, and opportunities for professional growth in a Great Place to Work-certified environment that values transparency, integrity, and a customer-first mindset.

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What benefits are offered to Staff Data Engineers at Bazaarvoice?

Bazaarvoice offers an attractive array of benefits for Staff Data Engineers, including group health insurance, paid time off options, an annual performance bonus, annual leave, and a referral bonus program. The company fosters a strong work-life balance with a hybrid work model and recognizes employee contributions with competitive salaries and other rewards.

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Common Interview Questions for Staff Data Engineer - Full Stack
Can you discuss your experience with Python and SQL for data engineering tasks?

In answering this question, highlight specific projects where you utilized Python for data manipulation and SQL for querying databases. Discuss the challenges you faced and how you overcame them, emphasizing your analytical thinking and problem-solving skills.

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What ETL tools have you worked with, and how did they impact your data workflows?

Mention specific ETL tools such as Airflow or Talend and describe how you've implemented these tools in data processing tasks. Discuss the improvements in efficiency and data accuracy that resulted from using these tools, showcasing your ability to optimize workflows.

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How do you ensure data accuracy before deploying data transformations?

Explain your process for validating and testing data transformations, such as implementing unit tests or peer code reviews. Highlight the importance of accuracy in data pipelines and provide examples of successful outcomes from your meticulous approach.

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What strategies do you use when working with cloud platforms like AWS or Azure?

Discuss your experience with provisioning resources, scaling applications, and managing databases in AWS or Azure. Describe how you approach cost management and optimization in cloud environments to ensure efficient operations.

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Can you describe a challenging data engineering problem you've solved?

Detail a specific challenge you encountered in data engineering and the steps you took to resolve it. Be sure to highlight your analytical skills and ability to work collaboratively to find a solution when facing obstacles.

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How do you stay updated with the latest technologies and trends in data engineering?

Share your strategies for continuous learning, such as attending webinars, participating in online courses, or following industry influencers. Emphasize your passion for innovation and staying current in the rapidly evolving landscape of data engineering.

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Explain your experience with Spark and its applications in data analysis.

Discuss specific projects where you have utilized Spark for large-scale data processing or analysis. Share insights on performance improvements and data handling capabilities, showcasing your technical proficiency and understanding of distributed computing.

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How would you approach optimizing an existing data pipeline?

Outline your step-by-step approach to analyzing the pipeline, identifying bottlenecks, and implementing changes to improve performance. Emphasize the importance of monitoring and metrics in assessing the effectiveness of your optimizations.

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What methodologies do you use for collaboration in a global team?

Share your insights on effective communication strategies for remote collaboration, such as using project management tools, regular stand-up meetings, and fostering a culture of open feedback. Showcase your ability to work well in a diverse, distributed team environment.

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What are your professional goals as a Staff Data Engineer at Bazaarvoice?

Discuss your aspirations in the context of contributing to Bazaarvoice’s mission. Express your interests in leading projects, mentoring junior engineers, or driving innovation within the company to demonstrate alignment with its values and objectives.

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Our mission is to build smarter shopper experiences across the entire customer journey. Whether it’s getting your user-generated content program started on day one or expanding global multichannel strategies, we’re here to be a true strategic part...

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Full-time, hybrid
DATE POSTED
April 4, 2025

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