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Mumbai · On-site · 4-7 Yrs · Oct 29
Accounting & Tax · 1 to 50 Employees · Jaipur, India
2 open roles0 posted in 7d2 in 30d
Work-life balance 4.0Compensation & benefits 4.0Culture & values 5.0
Hiring: Engineering
What employees say
+ friendly,scope for innovation and innovators
− still a small scale company
More reviews on the company profile.
Job description
Overview
Data Engineer Azure Databricks 46 Years Mumabi Onsite Immediate
Responsibilities
- Build scalable batch and real-time data pipelines using Databricks, PySpark, SQL, and Delta Lake.
- Implement Medallion Architecture (Bronze/Silver/Gold) and governed data products using Unity Catalog.
- Develop streaming pipelines using Structured Streaming and Azure Event Hubs.
- Work with ADLS Gen2, Azure Key Vault, and Azure DevOps.
- Optimize pipeline performance, reliability, and cloud costs.
- Develop analytical datasets and dashboards using BI and visualization tools.
- Build data products that support analytics, ML, GenAI, and agentic applications.
Qualifications
- Salary: 10.6L17.2L a year
- Data Engineer Azure Databricks 46 Years Mumabi Onsite Immediate Joiner
- Company: Codians.aiJob Location: Mumbai, Maharashtra, India
- Employment Type: Full-time
- Were Hiring: Data Engineer Azure Databricks Location Mumabi
- Technology: Azure Databricks PySpark Python SQL Delta Lake
- Were looking for an experienced Data Engineer to build, deploy, and operate modern, scalable data platforms on Azure Databricks.
- In this role, youll collaborate with a Senior Architect and take end-to-end ownership of data engineering solutionsfrom ingestion and transformation to CI/CD, deployment, monitoring, and production support.
- Were building for an AI-native world and are looking for engineers who can leverage AI coding assistants, AI agents, reusable workflows, and automation to improve engineering productivity and reliability.
- 46 years of experience in Data Engineering or Data Platforms.
- Strong hands-on skills in Python, PySpark, and SQL.
- Hands-on experience with batch and real-time data pipelines.
- Knowledge of Unity Catalog, Databricks Workflows/Jobs, and Structured Streaming.
- Understanding of CI/CD, cloud security, and production operations.
- Strong problem-solving skills and an ownership mindset.
- Comfortable working with AI coding assistants, AI agents, and AI-native engineering practices.
- Good to Have
- Azure or Databricks certifications.
- Exposure to AWS/GCP and Databricks.
- Knowledge of GenAI, RAG, or agentic applications.
- If youre passionate about building production-grade data platforms and using AI to make engineering faster, smarter, and more reliable, wed love to connect!
- Apply now or share your profile: [Add Email/Contact Details]#Hiring #Data Engineer #Azure Databricks #PySpark #Python #SQL #Delta Lake #Azure #Data Engineering #GenAI #AIEngineering #Data Jobs . .
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Job application FAQ
Last updated 2 November 2026
- How do I apply for Data Engineer Azure Databricks 46 Years Mumabi Onsite Immediate at Codians.ai?
- 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. Codians.ai may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer Azure Databricks 46 Years Mumabi Onsite Immediate 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 Azure Databricks 46 Years Mumabi Onsite Immediate remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer Azure Databricks 46 Years Mumabi Onsite Immediate role at Codians.ai?
- This is a mid-level Data Engineer Azure Databricks 46 Years Mumabi Onsite Immediate role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.