India · Senior
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
Always free · no credit card · 1 tap with Google
LOW
Our tracked job listings for Bajaj Finance show limited recent activity.
First 72 hours
Window passed - posted 42d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
| Job Purpose | We are looking for an AI & Azure Databricks Developer to join the AI & Tech Center of Excellence (CoE). The role will focus on building and operationalizing data/AI solutions on Azure—developing scalable data pipelines, feature/curated datasets, and AI enablement components using Azure Databricks, Data Lake and Python. The candidate will collaborate with business and technology stakeholders to design, develop, test, deploy and monitor solutions, leveraging Microsoft Copilot capabilities and Azure AI Foundry services where applicable, while following engineering best practices (CI/CD, code reviews, documentation and observability). |
| Duties and Responsibilities | • Design, build and maintain scalable data pipelines and ELT/ETL processes on Azure Databricks • Implement data quality, validation and reconciliation checks; build monitoring and alerting for pipelines/jobs • Build reusable Python components, utilities and APIs to enable AI/analytics use cases • Collaborate with CoE and business teams to translate requirements into technical design and implementation • Use Copilot tools to improve developer productivity while adhering to secure coding and data handling standards • Support AI solution delivery with Azure AI Foundry where applicable (model evaluation, prompt/flow assets, deployment support) • Follow engineering best practices: version control, code reviews, CI/CD, documentation and knowledge sharing |
| Required Qualifications and Experience | • 4-7 years of hands-on development experience in data engineering / analytics engineering / AI engineering roles • Strong Python development skills (data processing, APIs, packaging, testing) • Azure Databricks experience: notebooks, jobs/workflows, clusters, Delta Lake, performance tuning • Azure Data Lake / Lakehouse concepts (ADLS Gen2, medallion architecture, governance and security basics) • Working knowledge of Microsoft Copilot (e.g., M365 Copilot / GitHub Copilot) for productivity and engineering workflows • Exposure to Azure AI Foundry (building, evaluating and operationalizing AI solutions) is preferred • Good understanding of SQL and data modeling; experience building reliable pipelines and data quality checks • Strong problem-solving, debugging and stakeholder communication skills |
Your match score, skill map and tracker stay free.
Skip jobs with hidden dealbreakers. See what they actually need, what's easy to miss, and how they describe the team.
Ground Reality on every job, plus Insider Path, practice interviews and resume tailoring.
We help you find people there who worked or studied where you did, and draft your first message and follow-up.
Free · no signup
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
Keep browsing