Role Overview
SparxIT is hiring a Senior Data Engineer - AI Product Validation Specialist. This is a full-time role. Part of SparxIT's Qa hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
Location: Noida , On-Site
Experience: 6+Years
Employment Type: Full-Time
Company: ProactiveAI (by Sparx IT Solutions Pvt Ltd)
About the Role
We are building an AI product that aims to automate and replace the traditional human data engineer role. We are seeking a highly skilled Senior Data Engineer to serve as our AI Product Validation Specialist. In this role, you will act as the domain expert and "gold standard" benchmark, validating the accuracy and quality of our AI-generated data engineering outputs. Your expertise will directly shape how our AI product understands and executes complex data engineering tasks, from SQL query generation to ETL pipeline design.
This is a unique, forward-looking role at the intersection of data engineering and AI product development. You will work closely with our AI/ML engineering team to evaluate, critique, and improve the AI's ability to produce production-grade data engineering artifacts.
Key Responsibilities :
- Validate AI-generated SQL queries, Python/PySpark code, and ETL pipeline designs for correctness, performance, and best practices
- Design and execute evaluation frameworks to measure AI product accuracy across diverse data engineering scenarios
- Identify edge cases, logical errors, and failure modes in AI-generated data engineering outputs
- Compare AI-generated outputs against human expert baselines to define quality benchmarks
- Collaborate with the AI/ML team to provide feedback that improves model outputs and reduces error rates
- Define acceptance criteria and quality standards for AI-generated data engineering artifacts
- Build test datasets and scenarios that stress-test the AI product's capabilities
- Review and document AI product limitations, providing structured feedback for iterative improvement
- Work with cross-functional teams including product, engineering, and AI research
Required Skills & Qualifications :
- 6+ years of hands-on experience as a Data Engineer building production-grade data pipelines
- Expert-level proficiency in SQL (complex queries, query optimization, query plan analysis)
- Strong proficiency in Python and PySpark for data engineering workloads
- Deep understanding of ETL/ELT patterns, data modeling (dimensional modeling, star/snowflake schemas), and data warehouse design
- Experience with distributed data processing frameworks (Apache Spark, Databricks)
- Solid understanding of data pipeline orchestration tools (Airflow, Prefect, or similar)
- Experience with cloud data platforms (AWS, Azure, or GCP)
- Strong ability to review and critique code for correctness, efficiency, and maintainability
- Excellent analytical skills with an eye for spotting subtle logical errors in data transformations
- Experience working in a collaborative team environment with engineering and product teams
Preferred Qualifications
- Experience with streaming technologies (Kafka, Kinesis, or similar)
- Familiarity with dbt (data build tool) and modern data stack practices
- Exposure to AI/LLM technologies or experience evaluating AI-generated code
- Experience with containerization and CI/CD (Docker, Kubernetes)
- Background in data quality, data governance, or data observability
Frequently Asked Questions
How do I apply for the Senior Data Engineer - AI Product Validation Specialist position at SparxIT?
Use the Apply button above to submit your application directly to SparxIT. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
What does a Senior Data Engineer - AI Product Validation Specialist at SparxIT earn?
SparxIT has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Data Engineer - AI Product Validation Specialist role at SparxIT posted?
This role was posted on April 8, 2026 (60 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Engineer - AI Product Validation Specialist role at SparxIT require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. SparxIT lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get Started FreeNo credit card to start