Job Description

Ready to build the future with AI?
At Genpact, we don't just keep up with technology--we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Inviting applications for the role of Principal Consultant, Azure Data Engineer!
In this role, we are seeking a data engineer to design, implement, and optimize cloud-based data pipelines using Microsoft Azure services including ADF, Synapse, and ADLS.
Responsibilities

• Collaborate with our business analytics and data science teams, gathering requirements and delivering complete business intelligence solutions
• Mentor junior software developers and build a strong team
• Model data and metadata to support discovery, ad-hoc, and pre-built reporting
• Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks
• Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala. Experience with PowerShell or Azure CLI for automation is a plus
• Partner with security, privacy, and legal teams to deliver solutions that comply with security and privacy policies
• Own the design, development, and maintenance of datasets our business analytics teams will use to drive key business decisions
• Develop and promote standard methodologies in data engineering, including scalability, reusability, maintainability, and usability
• Tune and ensure compute performance by optimizing queries, databases, files, tables, and processes
• Ensure data and report service level agreements are met
• Analyze and solve problems at their root, stepping back to understand the broader context
• Own continuous engineering operational excellence of the datasets that drive key business decisions
• Learn and understand a broad range of data resources and know when, how, and which to use and which not to use
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with increased data volume using Azure
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment

Qualifications we seek in you!
Minimum Qualifications

• Bachelor's degree in computer science or related technical field
• Relevant years of experience in data architecture and business intelligence
• Relevant years of experience in developing solutions in distributed technologies such as Hadoop, Spark
• Experience in delivering end-to-end solutions using Azure services - Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and HDInsight
• Experience in programming using Python, Java, or Scala
• Expert in data modeling, metadata management, and data quality
• SQL performance tuning
• Strong interpersonal and multitasking skills with the ability to balance competing priorities
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• An ability to work in a fast-paced ambiguous environment where continuous innovation is occurring
• Experience with a business intelligence reporting tool

Preferred Qualifications/ Skills

• Experience with Databricks for advanced analytics and data processing
• Understanding of well-architected data pipeline designs
• Expertise in monitoring and fault-tolerant pipeline designs
• Knowledge of cluster configuration for optimal performance
• Ability to create cost-optimal solutions
• Experience in exploratory data analysis (dashboarding, plotting) using machine learning technologies and algorithms is desirable
• Good knowledge of standard machine learning techniques (like regression, classification, anomaly detection, forecasting) by using standard machine learning libraries part of Spark, Python is desirable
• Prior experience in gen AI and related tools and techniques (such as large language models, prompt engineering) is desirable
• Having a relevant Azure certification (architecture/data/machine learning) is desirable

Why join Genpact?

• Lead AI-first transformation - Build and scale AI solutions that redefine industries
• Make an impact - Drive change for global enterprises and solve business challenges that matter
• Accelerate your career--Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build
• Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let's build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Skills Required