AgileEngine
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Noida · Remote · 5-8 Yrs · Sep 27
Enterprise Software & Network Solutions · 1001 to 5000 Employees · Boca Raton, US
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. With a presence in Europe, the US, Latin America, and Asia, we’re always on the lookout for experienced and passionate software experts to build award-winning solutions. Our clients operate in 15+ industries including e-commerce, fintech, logistics, ecology, and healthtech; One of our projects is an AR solution used by Dell, Rolls Royce, and Coca-Cola. Using Node.js, React Native, and .Net, we’ve improved the backend part and web UI, and now we’re perfecting this project.
Hiring: Engineering
What employees say
+ Good work culture Work life balance
− No Cons till now. Everything is good
More reviews on the company profile.
Interview experience · Devops Engineer
Good One, took virtual client interview and it went around 1 hour, Mostly covered the scenario based questions and about Terraform, Azure DevOps, CICD pipeline and Jenkins, Ansible. mostly covered all DevOps tools
Difficult difficulty · India · 10 reports
More interview insightsJob description
Overview
We are looking for a Data Engineer with strong Databricks and GCP experience to build scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.
Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
- Build and operationalize agentic workflows that automate data validation, issue identification, troubleshooting, and workflow execution.
- Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments while supporting new business requirements and datasets.
- Build reusable frameworks and components that can support multiple data engineering and business use cases.
- Implement data quality checks, monitoring, validation, exception handling, and production controls.
- Optimize PySpark and SQL workloads and support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
- Troubleshoot complex production issues and collaborate with business, data engineering, and platform teams to identify additional automation opportunities.
Qualifications
- Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
- Strong analytical and troubleshooting skills.
- Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.
- Upper-intermediate English level.
- Familiarity with orchestration and automation frameworks.
- Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight.
Verify Software Engineer for this role
Free PRACTICE for Software Engineer adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Software Engineer free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 4 October 2026
- How do I apply for Data Engineer ID89384 at AgileEngine?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. AgileEngine may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer ID89384 role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer ID89384 remote or on-site in Noida, Uttar Pradesh?
- This listing is marked remote with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Data Engineer ID89384 role at AgileEngine?
- This is a mid-level Data Engineer ID89384 role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.