Deloitte
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Chennai · On-site · 8-11 Yrs · 4 days ago
Business consulting · 10000+ Employees · New York, US
Deloitte provides industry-leading audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our more than 412,000+ professionals deliver measurable and lasting results that help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 178-plus year history, Deloitte spans more than 150 countries and territories. Deloitte US-India Offices is part of region within the Deloitte US organization, with offices across seven cities in India — Hyderabad, Mumbai, Delhi-NCR, Bengaluru, Kolkata, Pune and Chennai.
Hiring: Engineering
What employees say
+ Very good hike and bonus. Flexible with respect to timings.
− Extended work hours is the only con.
More reviews on the company profile.
Interview experience · Technology Manager
The interview process typically includes a telephonic screening, two technical rounds, a managerial round, a CA round, and an HR discussion. The process is well-structured and evaluates technical knowledge, problem-solvi
Difficult difficulty · Bengaluru · 8,233 reports
More interview insightsJob description
Overview
Senior Data Engineer
Responsibilities
- Are you an experienced Data Engineer who has led the development of world-class software or digital products Are you looking for an opportunity to expand your scope and lead products used by some of the biggest and most influential businesses around the world If the answer to these questions is yes, we would like to talk with you.
- ConvergeCONSUMER™ is Deloitte's product-driven business that combines differentiated consumer insights with robust prediction and optimization capabilities to help consumer-focused businesses improve decision-making and deliver personalized experiences to drive growth, consumer loyalty, and profitability. We operate with the speed and agility of a startup within the world's largest professional services firm.
- The ConvergeCONSUMER™ engineering team operates as a product organization within Deloitte, building scalable identity and decisioning platforms. We focus on engineering rigor, platform scalability, and reusable system design to power enterprise-grade data products across industries.
- Design and architect scalable, reusable ETL and data processing frameworks supporting product use cases
- Build and maintain robust batch and streaming pipelines using Spark (PySpark / Spark SQL)
- Develop and optimize solutions across Snowflake and Databricks environments
- Design end-to-end data systems including ingestion, transformation, storage, and serving layers
- Build cloud-agnostic data solutions deployable across AWS, Azure, and GCP
- Establish and maintain CI/CD pipelines for automated build, test, and deployment of data workflows
- Containerize services using Docker and manage deployments via Kubernetes
- Implement performance tuning strategies for large-scale distributed processing workloads
- Develop advanced SQL- and Python-based transformation logic aligned to product requirements
- Design data models and storage strategies optimized for analytics and downstream applications
- Implement data validation, quality controls, monitoring, and observability frameworks
- Partner with product managers and data scientists to translate business requirements into scalable technical designs
- Contribute to platform architecture decisions and establish engineering best practices
- Operate within Agile sprints and deliver production-grade product features
Qualifications
- 8+ years of hands-on data engineering experience in product or platform environments
- Strong expertise in designing and implementing ETL frameworks and scalable data systems
- Advanced experience with Snowflake and Databricks
- Strong proficiency in Apache Spark (PySpark / Spark SQL)
- Advanced SQL skills with demonstrated performance tuning experience
- Strong Python programming skills for production-grade systems
- Experience designing systems deployable across AWS, Azure, and GCP
- Experience building and maintaining CI/CD pipelines for data products
- Experience with Docker and Kubernetes for containerized deployments
- Strong understanding of distributed systems architecture and large-scale data processing
- Experience with Git, branching strategies, and Agile product development
- Experience designing cross-cloud data platforms
- Experience with Delta Lake / Lakehouse architectures
- Experience with orchestration tools such as Airflow or Databricks Workflows
- Infrastructure-as-Code experience (Terraform, ARM, CloudFormation)
- Experience building identity resolution, entity matching, or other join-heavy systems
- Experience working in product-led engineering teams
- Distributed Systems & Platform Architecture
- Cross-Cloud Engineering (AWS, Azure, GCP)
- DevOps & CI/CD Discipline (Docker, Kubernetes, Automated Pipelines)
- End-to-End Ownership from Architecture through Production
- Agile Product Engineering Mindset
- Technical Leadership & Best-Practice Setting
Benefits
- Recruiting tips
- From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
- Requisition code: 367165
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Senior Data Engineer - AI and Data Science Engineer III at Deloitte?
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- Is Senior Data Engineer - AI and Data Science Engineer III remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
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- This is a senior Senior Data Engineer - AI and Data Science Engineer III role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.