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Senior Databricks Engineer
Quantorus 365 —Remote
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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- ₹18,000 - ₹25,000 a month
- Full-time
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- Paid time off
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Senior IT Business Analyst
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- Full-time
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- English
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Senior Databricks Engineer

Quantorus 365
Remote

Quick apply

Job details

Full-time
₹15,00,000 - ₹18,00,000 a year
5 days ago

Qualifications

CI/CD
Data modelling
Azure
Cloud architecture
Computer Science
Big data
DevOps
Spark
Git
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Continuous integration
Unity
ETL
Kafka
Leadership
Jenkins
Communication skills
Data warehouse
Python
Information Technology
Design patterns

Full job description

Job Summary

We are seeking a highly experienced Senior Databricks Engineer to design, build, and optimize large-scale data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate will have deep expertise in big data processing, cloud architecture, and end-to-end data pipeline development, along with strong leadership skills to guide technical teams.

Key Responsibilities

Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using Databricks (PySpark, Spark SQL, Delta Lake)
Architect and implement Lakehouse solutions integrating data lakes and data warehouses Lead the migration of legacy data platforms to Databricks on Azure/AWS/GCP
Optimize Spark jobs for performance, cost, and scalability
Implement data governance, security, and access control using Unity Catalog
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
Design and manage CI/CD pipelines for Databricks notebooks and jobs
Mentor junior engineers and provide technical leadership on best practices
Troubleshoot performance bottlenecks and ensure high availability of data pipelines
Work with structured, semi-structured, and unstructured data at scale

Required Skills & Qualifications

8–10 years of overall experience in data engineering/big data, with strong hands-on expertise in Databricks
Proficiency in PySpark, Spark SQL, and Delta Lake
Strong experience with at least one major cloud platform (Azure Databricks, AWS Databricks, or GCP)
Solid understanding of data warehousing concepts, data modeling, and ETL/ELT design patterns
Experience with Unity Catalog, Delta Live Tables, and Databricks Workflows
Proficiency in Python and SQL
Knowledge of Azure Data Factory (ADF) and Medallion Architecture
Experience with orchestration tools (Airflow, ADF, or similar)
Familiarity with CI/CD tools (Git, Azure DevOps, Jenkins)
Strong understanding of data governance, security, and compliance frameworks
Excellent problem-solving, communication, and stakeholder management skills

Good to Have

Databricks Certified Data Engineer Professional/Associate certification
Experience with MLflow and machine learning pipelines
Knowledge of Kafka or other streaming technologies
Experience working in the US healthcare industry is a plus

Education

Bachelor's/Master's degree in Computer Science, Information Technology, or a related field

Pay: ₹1,500,000.00 - ₹1,800,000.00 per year

Work Location: Remote

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