Kilpauk Chennai Tamil Nadu Quality catalog Jobs – 102 Open Jobs Today

Senior Data Engineer – Databricks, Python & Azure
RecruiterV —Chennai, Tamil Nadu
- Up to ₹30,00,000 a year
- Full-time
- Azure
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- Health insurance
- Food provided
Quick apply
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Senior Data Engineer – Databricks, Python & Azure

RecruiterV
Chennai, Tamil Nadu

Quick apply

Job details

Permanent | Full-time
Up to ₹30,00,000 a year

Benefits

Provident Fund
Health insurance
Food provided

Qualifications

CI/CD
Azure
Software deployment
DevOps
Spark
AWS Certification
SQL
AWS
Analysis skills
Machine learning
Terraform
Continuous integration
Azure Certification
Mentoring
Unity
ETL
ServiceNow
AI
Communication skills
Python

Full job description

Senior Data Engineer – Databricks, Python & Azure

Location: Chennai
Client: US-based IT services and consulting firm
Work Mode: Work from Office (5days/week)
Experience: 10+ Years
Employment Type: Full-time

About the Role

We are looking for an experienced Senior Data Engineer with deep expertise in Databricks, Python, Apache Spark, SQL, and Azure to design and deliver enterprise-scale Lakehouse solutions. This role requires hands-on experience in building scalable data platforms, modern ETL/ELT pipelines, and cloud-native data engineering solutions.

The ideal candidate will have strong architectural experience, excellent stakeholder management skills, and a passion for building high-performance data platforms that support analytics and AI initiatives.

Key Responsibilities

Design and implement enterprise-grade Lakehouse solutions using Databricks.
Build scalable batch and real-time data pipelines using Apache Spark (PySpark) and SQL.
Develop ETL/ELT pipelines, metadata-driven ingestion frameworks, and incremental data processing.
Implement and optimize Databricks features including Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Unity Catalog, and Workflows.
Design and maintain enterprise data warehouse solutions using 3NF and dimensional data modeling.
Establish data governance, security, data quality, and metadata management frameworks.
Lead ML lifecycle management using MLflow and support AI initiatives such as RAG and AI/BI.
Deploy and manage cloud-native data solutions on Microsoft Azure.
Build CI/CD pipelines and automate deployments using Azure DevOps.
Optimize Spark workloads for scalability, reliability, and performance.
Integrate enterprise applications such as ServiceNow with data platforms.
Collaborate with business stakeholders to translate requirements into scalable technical solutions.
Mentor engineering teams and provide technical leadership throughout project delivery.

Required Skills

10+ years of software engineering experience with at least 5+ years in Data Engineering.
Strong hands-on experience with Databricks and end-to-end Lakehouse implementation.
Expertise in Python, SQL, and Apache Spark (PySpark).
Strong experience with Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Unity Catalog, and Databricks Workflows.
Experience designing enterprise-scale data warehouses using 3NF and dimensional modeling.
Experience working on both batch and real-time data processing solutions.
Architecture-level experience owning solution design through deployment.
Good understanding of AI services, machine learning concepts, or Generative AI.
Strong stakeholder management and requirement gathering experience with US or UK clients.
Experience working in an IT Services or IT Consulting environment.

Preferred Skills

Azure Databricks and Azure Data Services
Azure DevOps and CI/CD implementation
MLflow and MLOps
AI use cases including RAG and AI/BI
Terraform or Infrastructure as Code (IaC)
Databricks Asset Bundles (DABs)
ServiceNow or enterprise application integrations
Databricks, Azure, or AWS certifications

What We're Looking For

Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
Passion for modern data engineering and cloud technologies.
Experience mentoring teams and leading technical initiatives.
Ability to deliver scalable, secure, and high-performance data solutions.

Benefits

Free AWS and Azure certification training.
Group Medical Insurance coverage of ₹5 Lakhs.
Meal allowance.
Opportunity to work on enterprise-scale cloud and AI-driven data platforms.
Excellent learning and career growth opportunities.

Note: Compensation package includes a 5% variable pay component.

Pay: Up to ₹3,000,000.00 per year

Benefits:

Provident Fund

Application Question(s):

Are you comfortable appearing for a face-to-face interview in the office? Final round will be face-face (mandatory)
Are you available to join immediately or within 15 days in office?
If you are serving NP, when is your last working day?

Experience:

total: 10 years (Required)

Location:

Chennai, Tamil Nadu (Chennai District) (Required)

Work Location: In person

Quick apply

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quality catalog jobs in kilpauk chennai tamil nadu

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