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T&T| Engg| Databricks| Mumbai| Consultant

Deloitte -
Mumbai, Maharashtra

Apply Now

Job details

4 days ago

Qualifications

CI/CD
Data modeling
Azure
Business intelligence
Big data
DevOps
Spark
Git
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Scala
Continuous integration
Scrum
Unity
GitHub
Agile
S3
Business Administration
MBA
Jenkins

Full job description

Job requisition ID :: 105131

Date: Jun 6, 2026

Location: Mumbai

Designation: Consultant

Entity: Deloitte Touche Tohmatsu India LLP

T&T| Engg| Databricks| Mumbai| Consultant

Job requisition ID : 105131
Location: Mumbai
Entity: Deloitte Touche Tohmatsu India LLP

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

Location: Mumbai

Need minimum 3+ years of experience

Education: Btech/BE/MBA

Key Responsibilities

Data Engineering & Pipeline Development

Design, develop, and maintain batch and streaming data pipelines using Databricks (Spark SQL, PySpark, Scala).

Build and optimize data ingestion frameworks using Auto Loader, Delta Live Tables (DLT), and Structured Streaming.

Implement scalable data solutions on cloud platforms (Azure / AWS / GCP) using Databricks Lakehouse architecture.

Databricks Platform & Lakehouse

Work with Delta Lake for ACID transactions, schema enforcement, and time-travel.

Develop and optimize ETL/ELT pipelines leveraging Spark best practices.

Manage data stored across cloud object storage such as ADLS, S3, or GCS.

Use Unity Catalog for governance, lineage, and access control.

Programming & Data Processing

Develop data transformation logic using SQL, PySpark, Spark SQL, or Scala.

Build reusable frameworks, libraries, and components for data processing workflows.

Orchestration & Automation

Orchestrate workflows using Databricks Workflows, Airflow, or equivalent schedulers.

Integrate Databricks jobs into CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Jenkins.

Quality, Monitoring & Performance

Implement data quality checks using expectations (DLT expectations, QA frameworks).

Optimize Spark jobs for performance and cost efficiency.

Troubleshoot data pipeline failures, cluster issues, and performance bottlenecks.

Collaboration & Delivery

Work with data scientists, analysts, and business teams to understand requirements.

Support data migration projects, such as on-prem to cloud lakehouse migration.

Create and maintain documentation, data flow diagrams, and runbooks.

Required Skills

Strong hands-on experience with Databricks (notebooks, jobs, clusters, Workflows).

Proficiency in PySpark, Spark SQL, and/or Scala.

Strong SQL skills.

Understanding of data modeling, lakehouse architecture, and ETL/ELT pipelines.

Familiarity with cloud platforms (Azure / AWS / GCP).

Working knowledge of DevOps, Git, and CI/CD practices.

Preferred Qualifications

Databricks Data Engineer Associate / Professional Certification.

Experience with Delta Live Tables, Unity Catalog, and MLflow.

Exposure real-time streaming using Spark Structured Streaming.

Experience working in Agile Scrum environments.

Apply Now

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