Powai Mumbai Maharashtra Senior devops & cloud management engineer Jobs – 106 Open Jobs Today

T&T | EAD | Senior Consultant | AWS Data engineer | Mumbai
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10d

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T&T | EAD | Senior Consultant | AWS Data engineer | Mumbai

Deloitte -
Mumbai, Maharashtra

Apply Now

Job details

13 days ago

Qualifications

CI/CD
SAFe
Data modeling
Business intelligence
Big data
DevOps
Spark
Encryption
AWS Certification
Git
Apache Hive
SQL
AWS
Analysis skills
Bachelor's degree
Machine learning
Continuous integration
ETL
Agile
B.E.
S3
Kafka
Redshift
Jenkins
Data warehouse
Python
Pre-sales
Identity & access management

Full job description

Job requisition ID :: 105193

Date: May 22, 2026

Location: Mumbai

Designation: Senior Consultant

Entity: Deloitte Touche Tohmatsu India LLP

T&T | EAD | Senior Consultant | AWS Data engineer | Mumbai

Job requisition ID : 105193
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

The AWS data engineer is responsible for managing client relationships and overseeing the successful delivery of programs or accounts. This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth.

Key Skills & Competencies

6+ years of experience in Design and implement batch and real-time data pipelines using AWS Glue, EMR, Kinesis, Lambda, and Step Functions.
Lead the design, development, and optimization of scalable data pipelines on AWS.
Develop and manage data lakes using Amazon S3 and data warehouses using Amazon Redshift.
Build ETL/ELT workflows using Glue, PySpark, and SQL for large-scale data processing.
Work with streaming data architectures using Amazon Kinesis and event-driven processing.
Design data models and optimize data storage for performance and scalability.
Implement data quality frameworks, validation rules, and monitoring solutions using CloudWatch.
Ensure data security, governance, and compliance using IAM, encryption, and access controls.
Optimize cost, performance, and resource usage across AWS data services.
Collaborate with data architects, analysts, and business stakeholders to define technical solutions.
Lead troubleshooting and root-cause analysis for production issues.
Mentor junior engineers and conduct code reviews and technical guidance.
Support CI/CD implementation using Git, Jenkins, and DevOps toolchains.
Contribute to solution design, client discussions, and pre-sales activities.
Required Skills
Strong hands-on experience with AWS data services such as S3, Glue, EMR, Redshift, Kinesis, Lambda, and Athena.
Proficiency in Python, PySpark, and SQL for data engineering.
Experience building and optimizing ETL/ELT pipelines on AWS.
Strong understanding of data modeling, data warehousing, and distributed data systems.
Experience with real-time and batch data processing architectures.
Familiarity with CI/CD and DevOps practices.
Strong problem-solving and analytical skills.
Ability to work in client-facing consulting environments.

Preferred Qualifications

Education - B. tech or BE

Success Metrics

AWS Certified Data Engineer
Proficiency in Python, PySpark, and SQL for data engineering.
Support CI/CD implementation using Git, Jenkins, and DevOps toolchains.
Build ETL/ELT workflows using Glue, PySpark, and SQL for large-scale data processing.

Experience with big data tools such as Spark, Hive, and Kafka.
Exposure to data governance, lineage, and observability tools.
Experience working in Agile / SAFe methodologies.

Location and way of working:

Base location: Mumbai
This profile involves travelling to client locations.

Apply Now

Refine Your Search

senior devops & cloud management engineer jobs in powai mumbai maharashtra

T&T | EAD | Senior Consultant | AWS Data engineer | Mumbai

Lead Devops Engineer

Staff DevOps Engineer

AI Project Manager

Senior Manager - Cloud Architect

DevOps Security Engineer

Senior Associate Automation Engineer

GAIN- Central IT- Senior IT Support Engineer

Sr. System Administrator - Qualispace

Senior SRE

Software Development Engineer in Test (Mid/Senior/Lead)

Infra Tech Support Practitioner

Senior AI Engineer

Senior Platform Engineer

Senior Software Development Engineer (AI/ML and GenAI Engineer)

Senior Data Platform Engineer I

Head of Engineering - Crimson Interactive

AI / ML Engineer/Lead

ITQ Engineer II - Data Engineer

Senior Application Security / Product Security Engineer

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