Senior Data Engineer - AWS at Auxo AI · Bengaluru (Bangalore), Mumbai, Hyderabad, Gurugram · 6 - 11 years · ₹15L - ₹50L / yr · Raised funding · Posted 10 Aug 2026

About AuxoAI:
AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.
We help our clients with accelerating their digital and AI journeys through:
• AI Application Development
• Data, Digital and Cloud acceleration using AI
• AI Native Product Engineering
We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.
Responsibilities:
* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.
* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.
* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.
* Implement data governance and security best practices to ensure compliance and data integrity.
* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.
* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.
Requirements :
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.
* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.
* Strong programming skills in languages such as Python, Java, or Scala.
* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.
* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

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If you are passionate about your data and analytics, love integrating SaaS platforms, and enjoy talking to customers, you'll have a great time here at CutsomerSuccessBox! We recognize both the opportunities and the challenges that come along.
We're looking for a great Implementation Engineer to assist our customers in integrating with 3rd party tools, help them get the data via APIs, JavaScripts or other analytics tools so that the customers can start getting value from CustomerSuccessBox (CSB) product. This is a great role for someone who loves data & to build their career in Customer Success domain & work with the world-class team.
Implementation Engineer’s role is a key part of the Product & Customer Success team. As an Implementation Engineer, you will be responsible for guiding customers in getting the data from various 3rd party tools & make sure you are helping the Customer Success team to onboard customers. You will act as a trusted advisor. You will become an integral part of the company and our customers.
Your Primary Responsibilities
- Understand Customer Operations Tech Stack. What platforms are they using for CRM, Support, Billing, Analytics, etc)
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- Tech – Learning about huge enterprises tech stack
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CustomerSuccessBox is the leading AI powered Enterprise Customer Success platform. It helps global B2B SaaS businesses to get to 130%+ MRR Retention, unlock 3X upsell opportunities and double LTV.
In SaaS, 95% of the Lifetime value (LTV) is locked in as ‘Future’ Recurring Revenue. BUT businesses don't know who will Renew / Buy-more / At-Risk until it’s too LATE.
CustomerSuccessBox technology tracks real time product adoption and customer engagement. It’s AI Powered ‘Early Warning System’ uncovers the blind spots for Proactive Interventions. It's advanced automation leads to a faster time to value, higher product adoption and reduced cost of customer success.
Leading customer-centric global enterprises such as Headset - Seattle, Aislelabs - Toronto, Locus - Bangalore and Raken - San Diego.
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CustomerSuccessBox is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, gender, ethnicity, national origin, disability, or sexual orientation.










