10 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Own the support, maintenance, reliability, and enhancement of Data Concierge, AskInsights, and related AI-powered data products.
- Build, test, deploy, and optimize data pipelines and transformations using dbt, SQL, Alteryx, and related technologies.
- Design and develop governed, reusable data models and contextual data capabilities for analytics, automation, and AI use cases.
- Monitor data and application health, troubleshoot production issues, perform root-cause analysis, and improve reliability, performance, scalability, and cost efficiency.
- Implement automated testing, data-quality controls, observability, documentation, and deployment practices across data products and pipelines.
- Build and maintain integrations with enterprise platforms, APIs, data sources, and AI services.
- Partner with Data Engineering, Data Science, Governance, Customer 0, and embedded Data Ops teams to deliver reusable enterprise data products.
- Translate business and AI requirements into scalable technical solutions while maintaining governance and security standards.
- Evaluate emerging AI and data-engineering technologies and contribute to engineering standards, reusable patterns, documentation, and best practices.
Requirements
- 4–6 years of relevant professional experience in Data Engineering, Analytics Engineering, or a closely related technical role.
- Strong hands-on experience building and supporting production-grade data pipelines, transformations, and data models.
- Strong proficiency in SQL and practical experience with modern data transformation frameworks such as dbt.
- Experience with Alteryx or similar data preparation, analytics, or workflow automation platforms.
- Experience designing and maintaining data solutions in cloud-based or modern enterprise data environments.
- Understanding of data modeling, data quality, testing, monitoring, observability, and production support.
- Experience integrating data solutions with APIs, enterprise applications, and external services.
- Understanding of version control, CI/CD, automated testing, and deployment processes.
- Exposure to AI/ML, Generative AI, LLM-powered applications, semantic layers, or AI-enabled data products is highly desirable.
- Ability to troubleshoot complex data and integration issues through resolution, with strong communication and collaboration skills across technical and business teams.
Tech Stack
dbtSQL
Categories
Data Engineering
About Alteryx
Alteryx builds an analytics automation platform used by analysts, data engineers, and data scientists to prepare, blend, and analyze data with code-optional tools. Its products, including Alteryx Designer plus cloud and server offerings, are sold primarily via subscriptions for on-premises and SaaS deployments across enterprises. Founded in 1997 and headquartered in Irvine, California, Alteryx is privately held under Clearlake Capital.