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Ahmedabad · Hybrid · 1-3 Yrs · Aug 31
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
T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location
Qualifications
- Design, develop, and maintain scalable ETL/ELT pipelines using PySpark for large-scale data processing.
- Build and optimize complex data workflows and transformation logic to handle diverse datasets.
- Execute end-to-end data migration strategies, moving data from legacy systems (such as SAS environments) to modern cloud architectures.
- Design and implement robust data models and schemas to support advanced analytics and business intelligence.
- Manage data ingestion, cleansing, validation, and orchestration processes across various formats (Parquet, Avro, JSON, CSV, etc.).
- Leverage AI-assisted coding tools (such as GitHub Copilot) to enhance productivity and ensure high code quality.
- Architect and implement data solutions utilizing AWS components (e.g., AWS Glue, EMR, S3, Redshift, Lambda, Kinesis).
- Ensure strict adherence to cloud security best practices, including identity management, encryption, and data protection.
- Optimize the performance, reliability, and cost-efficiency of cloud data workloads.
- Troubleshoot and proactively resolve data pipeline failures and production issues to ensure system stability.
- Collaborate with cross-functional teams to design and deploy scalable, cloud-native data architectures.
- Core Data Processing: Strong hands-on experience with PySpark and distributed computing frameworks.
- Legacy Integration: Proven experience working with SAS for data manipulation and statistical analysis.
- Cloud Ecosystem: Deep expertise in AWS services (S3, Glue, EMR, Redshift, Athena, etc.).
- Data Migration: Expert knowledge of data migration patterns, schema mapping, and validation techniques.
- Design Patterns: Strong understanding of Data Modeling, Star/Snowflake schemas, and Data Lakehouse architecture.
- Technical Fundamentals: Proficiency in SQL, Python, and advanced data structures.
- DevOps & Automation: Proficiency in DevOps practices and CI/CD pipelines using AWS Code Pipeline or GitHub Actions.
- Orchestration: Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions.
- Streaming: Knowledge of real-time data processing using AWS Kinesis or Kafka.
- Compliance: Experience working within regulated environments with stringent data privacy and security standards.
- Strong communication and collaboration skills for working within cross-functional, agile teams.
- Ability to thrive in a fast-paced environment with evolving technological requirements.
- Proactive mindset with meticulous attention to detail regarding data quality and integrity.
- A continuous learning attitude, particularly regarding emerging AI-driven data technologies.
Education
- Location: Any location in India (Preferably Pune)
- Work Model: Hybrid – Mandatory 3 days
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Job application FAQ
Last updated 17 September 2026
- How do I apply for T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location at Deloitte?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Deloitte may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location remote or on-site in Ahmedabad, Gujarat?
- This listing is marked hybrid with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location role at Deloitte?
- This is a mid-level T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.