Time since we first saw it
Day 78
Up longer than most. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Data Engineer | AI & Analytics
Noida, Uttar Pradesh, India
Live, first seen by us 78 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild and validate production data pipelines from business rules and AI prototypes
Own pipeline delivery end-to-end, from environment setup through go-live support
Integrate ERP, database, external, Excel and flat-file sources
Define and automate tests for schema, row counts, reconciliations and alerts
Review SQL data models and recommend scalability and performance improvements
From the employer’s posting
convert business logic and AI prototypes into scalable, production-ready data pipelines
Own pipeline implementation end-to-end: environment and connectivity setup, build, validation, deployment and go-live support
Integrate diverse sources: ERP systems, databases, external data, non-standard Excel and flat files
Define and automate tests including schema checks, row-count and value reconciliations, and failure alerts
Review SQL data models and database design; recommend improvements for scalability, performance and maintainability
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202678 days ago
- Recorded sightings
- 44
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Aug 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Acuvon is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
Where the posting names them
About Us Acuvon Consulting is a management consulting firm with its headquarters in New Delhi, India and representative offices in Riyadh (KSA) and Dubai (UAE). Our clients belong to a diverse set of sectors i.e. Retail, Food & Beverage, Healthcare, Fintech, Pharmaceutical, Public Sector (Government) and BFSI (including Private Equity and Family Offices). Our mandates range from developing business strategy, growth plans and implementation roadmaps, advanced analytics and AI solutions, operational and financial restructuring, financial modelling and validation, business cycle development and process improvement, performance measurement and reporting, and commercial and financial due diligence (Buy side). Our employees are graduates of top-tier engineering and business schools and chartered accountants and bring in a diverse set of prior experiences. We are an equal opportunity employer. Role Summary As a Data Engineer, you will convert business logic and AI prototypes into scalable, production-ready data pipelines, owning implementation end-to-end, from environment and connectivity setup through pipeline build, business validation, deployment and go-live support. You will work with diverse data sources: ERP systems, databases, external sources, non-standard Excel and flat files, translating business rules into reliable, validated pipelines. You will also review the underlying SQL data models and database design, and challenge or improve them where scalability, performance or maintainability demands it. Requirements Own pipeline implementation end-to-end: environment and connectivity setup, build, validation, deployment and go-live support Translate business rules and AI-generated prototypes from consulting teams into validated, production-ready pipelines Integrate diverse sources: ERP systems, databases, external data, non-standard Excel and flat files Define and automate tests including schema checks, row-count and value reconciliations, and failure alerts Review SQL data models and database design; recommend improvements for scalability, performance and maintainability Manage development and production deployments; monitor and troubleshoot pipelines in production Work directly with client IT teams on connectivity, access, security and deployment requirements Education, Experience and Skill-Set: 4–7 years of relevant experience in data engineering Strong hands-on experience with Azure Data Factory (ADF) (mandatory)Hands-on experience with Azure Self-Hosted Integration Runtime (SHIR) (mandatory) Strong Python skills, including data validation, reconciliation and source-to-target parity matching Strong grounding in SQL data modelling and database design fundamentals Experience with Azure SQL and Microsoft Entra ID (preferred) We arrange for travel to client location and also ensure comfortable accommodation at the client-site for our employees.
Your next step
Complete your application on acuvon.zohorecruit.com. The employer’s form will show what is required.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Us Acuvon Consulting is a management consulting firm with its headquarters in New Delhi, India and representative offices in Riyadh (KSA) and Dubai (UAE). Our clients belong to a diverse set of sectors i.e. Retail, Food & Beverage, Healthcare, Fintech, Pharmaceutical, Public Sector (Government) and BFSI (including Private Equity and Family Offices). Our mandates range from developing business strategy, growth plans and implementation roadmaps, advanced analytics and AI solutions, operational and financial restructuring, financial modelling and validation, business cycle development and process improvement, performance measurement and reporting, and commercial and financial due diligence (Buy side). Our employees are graduates of top-tier engineering and business schools and chartered accountants and bring in a diverse set of prior experiences. We are an equal opportunity employer. Role Summary As a Data Engineer, you will convert business logic and AI prototypes into scalable, production-ready data pipelines, owning implementation end-to-end, from environment and connectivity setup through pipeline build, business validation, deployment and go-live support. You will work with diverse data sources: ERP systems, databases, external sources, non-standard Excel and flat files, translating business rules into reliable, validated pipelines. You will also review the underlying SQL data models and database design, and challenge or improve them where scalability, performance or maintainability demands it. Requirements Own pipeline implementation end-to-end: environment and connectivity setup, build, validation, deployment and go-live support Translate business rules and AI-generated prototypes from consulting teams into validated, production-ready pipelines Integrate diverse sources: ERP systems, databases, external data, non-standard Excel and flat files Define and automate tests including schema checks, row-count and value reconciliations, and failure alerts Review SQL data models and database design; recommend improvements for scalability, performance and maintainability Manage development and production deployments; monitor and troubleshoot pipelines in production Work directly with client IT teams on connectivity, access, security and deployment requirements Education, Experience and Skill-Set: 4–7 years of relevant experience in data engineering Strong hands-on experience with Azure Data Factory (ADF) (mandatory)Hands-on experience with Azure Self-Hosted Integration Runtime (SHIR) (mandatory) Strong Python skills, including data validation, reconciliation and source-to-target parity matching Strong grounding in SQL data modelling and database design fundamentals Experience with Azure SQL and Microsoft Entra ID (preferred) We arrange for travel to client location and also ensure comfortable accommodation at the client-site for our employees.
Source details
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- Pay
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- Location & working pattern
Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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