principal data engineer

Confiz

<div><p>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
<p><b>Qualifications</b></p>
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Principal Data Engineer

<div><p>We are seeking a <b>Principal Data Engineer</b> with 5+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

Principal Data Engineer (PySpark)

The Walt Disney Company

<div><div><b>Job ID</b> 10139465 <b>Location</b> Orlando, Florida, United States <b>Business</b> Disney Experiences <b>Date posted</b> Mar. 02, 2026
<div><h4 class="jobSectionHeader"><b>Job Summary:</b></h4>
<div><div><div><p>At Disney, we&rsquo;re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt&rsquo;s passion was to continuously envision new ways to move audiences around the world&mdash;a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences &mdash; and we&rsquo;re constantly looking for new ways to enhance these exciting experiences.</p><p>
At Disney Experiences Technology, we design and deliver more than 400 digital and physical products that bring Disney stories to life in unexpected ways. From theme parks and resorts to cruise ships and beyond, our global team of technologists, designers, and innovators creates seamless, immersive experiences that delight millions of Guests and Cast Members around the world.
 </p><p>The Disney Signature Experiences and Data team delivers innovative technology solutions across Disney Cruise Line, Disney Vacation Club, and our global tour businesses. We support Guest and Crew experiences at sea, enable commercial growth through digital platforms, and lead the segment&rsquo;s data strategy. With a strong focus on reliability, scalability, and strategic expansion, we build systems that support immersive experiences and unlock new opportunities for growth.</p><p>
 Data Platform &ndash; This role is on the Data Platform team, which builds and manages the data architecture, governance, and engineering capabilities that power insights and decision-making across Disney Experiences. We are looking for a Principal Solution Architect on the Reference Architecture team to lead the design vision of data products and solutions. You will lead all aspects of assigned data initiatives working with multiple engineering and product teams.</p><p><b>
What You Will Do:</b></p><p>
 Define and/or influence the design, development, and roadmap of highly scalable software systems and applications</p><ul><li>
Create, maintain, and evangelize data architecture standards, patterns, and best practices to ensure alignment with established principles and technologies</li><li>
Architect end-to-end data pipelines from ingestion through consumption layers that support business requirements and analytical needs</li><li>
Facilitate work, intake discussions to ensure solutions are well-architected to meet standards and requirements (e.g., SLA, resiliency, security, and privacy requirements)</li><li>
Provide architectural input for the scope, estimation, prioritization, and planning of highly sophisticated scalable projects and their budget allocations</li><li>
Create and maintain clear communication, documents, and diagrams that define, guide, and influence engineering and product teams</li><li>
Lead projects that may be used in commercial and end-user applications, focusing on software and tools supporting infrastructure and technology platforms</li><li>
Continuously monitor and evaluate emerging technologies within your area of expertise to drive informed decision-making and recommendations</li><li>
Foster and maintain productive engagement with executive leadership and partners to ensure solutions are right-sized and strategically aligned to the overall data strategy and architecture principles</li></ul><p><b>
Required Qualifications &amp; Skills:</b></p><ul><li>
10+ years of experience with the delivery of data solutions</li><li>
Expertise in current programming languages and technologies, with strong skills in writing code and programming tasks</li><li>
Deep technical expertise in data, platforms, and tools&mdash;including AWS, Snowflake, dbt, SQL &amp; SQL optimization, data modeling, Python, RESTful APIs, near real-time stream processing, ETL &amp; ELT approaches, and infrastructure-as-code (Terraform/CDK)</li><li>
Strong problem solving and influencing skills, able to critically think through and elegantly address logic problems with code</li><li>
Ability to navigate in the gray easily and work independently to guide the design and implementation of solutions and strategies</li><li>
Excellent communicator and partnership skills with the ability to interface and influence across the organization, including executives</li><li>
Experience creating architectural diagrams and artifacts that clearly and consistently define solutions used by product managers and engineering teams</li></ul><ul><li>
Ability to create reference implementations used as initial working solutions</li><li>
Solid grasp and believer of agile development approaches, including DevOps concepts</li></ul><p><b>
Preferred Qualifications&amp; Skills:</b></p><ul><li>
Experience working in the hospitality, travel, or entertainment industry</li><li>
Master&rsquo;s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience</li></ul><p><b>
Required Education:</b></p><ul><li>
Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.</li></ul><p>
#DISNEYTECH</p></div></div></div></div></div></div>

Honeywell

<div><p>As a <b>Principal Data Engineer </b>here at Honeywell, you will play a crucial role in designing and implementing advanced data solutions for AI solutions that drive business insights, enhance decision-making processes and empower AI solutions. Your expertise will help in critical data science development activities across all AI modalities (classic, Gen and agentic) and data types (structured and unstructured).
</p><p>You will report directly to our AI Director and you&rsquo;ll work out of our Phoenix, AZ location on a Hybrid work schedule.
</p><p>In this role, you will impact the organization by leveraging your technical skills to develop innovative data solutions that support strategic initiatives and improve operational efficiency.
</p><p>At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture.</p></div>
<br><div><ul><li>Support end‑to‑end data needs for <b>all AI modalities </b>, including classic ML, GenAI/LLMs, and agentic AI systems.
</li><li>Build robust, scalable data pipelines for <b>structured, semi‑structured, and unstructured data </b>, including text, documents, images, audio, video, and logs.
</li><li>Develop feature engineering pipelines for classic ML, including feature extraction, transformation, and feature store management.
</li><li>Build and optimize <b>GenAI and LLM data pipelines </b>, including embedding generation, vectorization, chunking, metadata extraction, and document enrichment for RAG and context retrieval.
</li><li>Develop data ingestion and orchestration workflows that support <b>agentic AI </b>, including memory stores, event-driven pipelines, tool-use data flows, and real-time retrieval services.
</li><li>Design and implement advanced data solutions using <b>AWS (S3, Glue, Lambda, EMR, Kinesis), Databricks (Spark, Delta Lake, Vector Search), and Dataiku </b>to enable intelligent systems at scale.
</li><li>Implement data governance, quality, lineage, monitoring, and observability to support high-performance, trustworthy AI.
</li><li>Partner with data scientists, ML engineers, and AI product teams to deliver datasets for model development, fine‑tuning, evaluation, and production inference.
</li><li>Optimize pipelines for latency, cost, reliability, and throughput, ensuring AI systems&mdash;from batch ML to real-time agents&mdash;have the data they need.</li></ul></div>
<br><div><ul><li>Bachelor&rsquo;s degree in a technical field (CS, Engineering, Math, or related).
</li><li>Experience supporting AI at scale across <b>classic ML, GenAI/LLM, and agentic AI systems </b>.
</li><li>Experience with vector databases and semantic search (Databricks Vector Search, Pinecone, FAISS, Milvus, OpenSearch).
</li><li>Familiarity with <b>LLM and GenAI data preparation </b>, including:
<ul><li>Text processing
</li><li>Tokenization
</li><li>Chunking strategies
</li><li>Prompt/context formatting
</li></ul></li><li>Experience with unstructured data technologies (OCR, NLP pipelines, computer vision data processing).
</li><li>Hands-on experience with Dataiku for automation, workflow orchestration, and AI project management.
</li><li>Knowledge of MLOps tooling: MLflow, Delta Lake, experiment tracking, CI/CD for ML.
</li><li>Understanding of <b>agentic AI system patterns </b>, such as memory architectures, tool APIs, event-driven workflows, and reasoning chain data requirements.
</li><li>Strong analytical mindset, attention to detail, and commitment to high data quality.
</li>Ability to thrive in a fast-paced, evolving AI environment and collaborate across cross-functional teams.<br>
<li>
</li></ul><p></p><p><b>BENEFITS OF WORKING FOR HONEYWELL
</b></p><p>In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
</p><p>The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.<br>
</p><p></p><p>#AERO26</p></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Principal AI Data Engineer

Genpact

<p></p><div><div><div><div><div><b><i>Ready to shape the future of work?</i></b></div></div><div><div><b><i>
At Genpact, we don&rsquo;t just adapt to change&mdash;we drive it. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s </i></b><b>AI Gigafactory</b><b><i>, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to </i></b><b>agentic AI</b><b><i>, our breakthrough solutions tackle companies&rsquo; most complex challenges.</i></b></div></div><div><div><b><i>
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquo;s shaping the future, this is your moment.</i></b></div></div><div><div><b><i>
Genpact (NYSE: G) is an</i></b><b><i> </i></b><b><i>advanced technology services and solutions company that delivers</i></b><b><i> </i></b><b><i>lasting</i></b><b><i> </i></b><b><i>value for leading enterprises</i></b><b><i> </i></b><b><i>globally.</i></b><b><i> </i></b><b><i>Through our</i></b><b><i> </i></b><b><i>deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead.</i></b><b><i> </i></b><b><i>Powered by curiosity, courage, and innovation</i></b><b><i>,</i></b><b><i> </i></b><b><i>our teams</i></b><b><i> </i></b><b><i>implement</i></b><b><i> </i></b><b><i>data, technology, and AI</i></b><b><i> </i></b><b><i>to</i></b><b><i> </i></b><b><i>create tomorrow, today.</i></b><b><i> </i></b><b><i>Get to know us at</i></b><b><i> </i></b><b>genpact.com</b><b> </b><b><i>and on</i></b><b><i> </i></b><b>LinkedIn</b><b><i>,</i></b><b><i> </i></b><b>X</b><b><i>,</i></b><b><i> </i></b><b>YouTube</b><b><i>, and</i></b><b><i> </i></b><b>Facebook</b><b><i>.</i></b></div></div><div><div><b>
Inviting applications for the role of Principal Consultant</b><b> &ndash; Data Engineer.</b></div></div><div><div><b>
In this role, a Data Engineer will leverage cloud technologies to manage and analyze their data. This role demands expertise in Databricks, Azure Data Factory (ADF), Python, and </b><b>PySpark</b><b>and Unity Catalog to efficiently process and analyze large datasets. Data Engineer Is responsible for designing and implementing scalable data pipelines, optimizing data workflows, ensuring data quality, collaborating with cross-functional teams, and leveraging cloud technologies to enhance data processing and analytics capabilities.</b></div></div><div></div><div><div><b><br>
Responsibilities</b></div></div><div><ul><div><div><b>
Data Pipeline Development:</b></div></div></ul></div><div><ul><div><div><b>
Architect, build, and optimize data ingestion and transformation pipelines using Azure Data Factory and Azure Databricks.</b></div></div></ul></div><div><ul><div><div><b>
Implement data integration and transformation solutions using Azure Databricks.</b></div></div></ul></div><div><ul><div><div><b>
Data Quality and Governance:</b></div></div></ul></div><div><ul><div><div><b>
Ensure data quality frameworks, lineage, and monitoring are in place.</b></div></div></ul></div><div><ul><div><div><b>
Implement data quality checks, validation rules, and governance policies to ensure accuracy, reliability, and security of data assets.</b></div></div></ul></div><div><ul><div><div><b>
Data Management:</b></div></div></ul></div><div><ul><div><div><b>
Pull data from different sources, transform and stitch it for advanced analytics activities.</b></div></div></ul></div><div><ul><div><div><b>
Design, implement, and deploy data loaders to load data into the engineering sandbox.</b></div></div></ul></div><div><ul><div><div><b>
Develop and deploy data models and solutions using Azure services.</b></div></div></ul></div><div><ul><div><div><b>
Collaboration and Support:</b></div></div></ul></div><div><ul><div><div><b>
Collaborate with machine learning engineers and cloud engineers for the design and implementation of data management solutions.</b></div></div></ul></div></div><div><div><ul><div><div><b>
Work with data scientists and analysts to support their data requirements.</b></div></div></ul></div><div><ul><div><div><b>
Performance Optimization:</b></div></div></ul></div><div><ul><div><div><b>
Monitor and optimize data pipelines for performance and reliability.</b></div></div></ul></div><div><ul><div><div><b>
Troubleshoot and resolve data-related issues promptly.</b></div></div></ul></div><div><ul><div><div><b>
Security Measures:</b></div></div></ul></div><div><ul><div><div><b>
Implement data security and privacy measures to protect sensitive information.</b></div></div></ul></div><div><ul><div><div><b>
Implement Unity </b><b>Catalog</b><b>:</b></div></div></ul></div><div><ul><div><div><b>
Manage data governance and security using Unity </b><b>Catalog</b><b>to ensure compliance and protect sensitive information.</b></div></div></ul></div><div><ul><div><div><b>
Leadership and Mentorship:</b></div></div></ul></div><div><ul><div><div><b>
Mentor junior engineers and perform peer reviews.</b></div></div></ul></div><div><ul><div><div><b>
Participate in code reviews and provide feedback to improve data engineering processes</b></div></div></ul></div><div><ul><div><div><b>
Leverage data best practices and tools and assist ML engineer in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use</b><b>.</b></div></div></ul></div><div></div><div><div><b><br>
Qualifications We Seek in You!</b></div></div><div><div><b>
Minimum Qualifications / Skills</b></div></div><div><ul><div><div><b>
A bachelor&rsquo;s degree in computer science, Information Technology, Business, or a related field is required</b></div></div></ul></div><div><ul><div><div><b>
Experience in Databricks, Azure ADF, Python, </b><b>Pyspark</b></div></div></ul></div><div><ul><div><div><b>
Experience in working on data ingestion or ETL from Workday or any other HR systems</b></div></div></ul></div><div><ul><div><div><b>
Experience in RBAC security models in Unity Catalog</b></div></div></ul></div><div><ul><div><div><b>
Exposure to CI/CD DevOps practices</b></div></div></ul></div></div><div><div><ul><div><div><b>
Expertise in Azure Databricks, including its features for big data processing and collaborative notebooks.</b></div></div></ul></div><div><ul><div><div><b>
Strong programming skills in Python for data manipulation and scripting.</b></div></div></ul></div><div><ul><div><div><b>
Extensive experience with </b><b>PySpark</b><b>and SQL for building scalable data transformation jobs, data querying, analysis, and data modelling</b></div></div></ul></div><div><ul><div><div><b>
Proficiency in data engineering tools like Databricks, Apache Spark, and Unity Catalogue</b></div></div></ul></div><div><ul><div><div><b>
Hands-on experience with Azure Data Factory for pipeline orchestration, scheduling, and monitoring.</b></div></div></ul></div><div></div><div><div><b><br>
Preferred Qualifications / Skills</b></div></div><div><ul><div><div><b>
Mentoring data engineers and managing specific POD</b></div></div></ul></div><div><ul><div><div><b>
Certifications in Azure data engineering, </b><b>databrick</b><b> </b><b>or related fields</b></div></div></ul></div><div></div><div><div><b><i><br>
Why join Genpact?</i></b></div></div><div><ul><div><div><b><i>
Be a transformation leader</i></b><b><i> &ndash; Work at the cutting edge of AI, automation, and digital innovation</i></b></div></div></ul></div><div><ul><div><div><b><i>
Make an impact</i></b><b><i> &ndash; Drive change for global enterprises and solve business challenges that matter</i></b></div></div></ul></div><div><ul><div><div><b><i>
Accelerate your career</i></b><b><i> &ndash; Get hands-on experience, mentorship, and continuous learning opportunities</i></b></div></div></ul></div><div><ul><div><div><b><i>
Work with the best</i></b><b><i> &ndash; Join 140,000+ bold thinkers and problem-solvers who push boundaries every day</i></b></div></div></ul></div><div><ul><div><div><b><i>
Thrive in a values-driven culture</i></b><b><i> &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</i></b></div></div></ul></div><div><div><b><i>
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.</i></b></div></div><div><div><b><i>
Let&rsquo;s build tomorrow together.</i></b></div></div><div><div><b><i>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, </i></b><b><i>color</i></b><b><i>, 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.</i></b><br>
<b><i>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.</i></b></div></div></div></div><p></p><p><br>
JobPrincipal Consultant</p><p>
Primary LocationIndia-Hyderabad</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 18, 2026, 12:48:58 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Principal Consultant – Data Engineer.

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