Principal Consultant-Data Engineer

Job Description Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atand on,,, and. Inviting applications for the role of Principal Consultant-Data Engineer Responsibilities - Strong DWH experience. - Strong in one of the query languages like MS SQL, PL/SQL etc. - Good understanding of best practices of cloud database technologies. - Experience in Snowflake and/or dbt would be preferred while is not mandatory. - Experience in CICD tools like GitHub etc. - Understanding of batch orchestration tools like Apache Airflow , Control-m etc. - Experience range - Experience of any kind of data migration project is nice to have. - Python is nice to have but DWH skills are must have. Qualifications we seek in you Minimum Qualifications - Bachelor%27s degree in computer science, information technology, or a related field. - IT experience with a major focus on data warehouse/database-related projects Preferred Qualifications/ Skills - You have experience in data warehousing, data modeling, and the building of data engineering pipelines. - You are well versed in data engineering methods, such as ETL and ELT techniques through scripting and/or tooling. - You are good at analyzing performance bottlenecks and providing enhancement recommendations you have a passion for customer service and a desire to learn and grow as a professional and a technologist. - Strong analytical skills related to working with structured, semi-structured, and unstructured datasets. - Collaborating with product owners to identify requirements, define desired and deliver trusted results. - Building processes supporting data transformation, data structures, metadata, dependency, and workload management. - In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python. - Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses (Snowflake preferred). - Demonstrated ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket) - Extremely talented in applying SCD, CDC, and DQ/DV framework. - Familiar with JIRA & Confluence. - Must have exposure to technologies such as dbt, Apache airflow, and Snowflake. - Desire to continually keep up with advancements in data engineering practices. - Knowledge of AWS cloud, and Python is a plus. - Must have exposure to technologies such as dbt, Apache Airflow, and Snowflake. - Experience in other data platforms: Oracle, SQL Server, MDM, etc - Expertise in writing SQL and database objects - Stored procedures, functions, and views. Hands-on experience in ETL/ELT and data security, SQL performance optimization and job orchestration tools and technologies e.g., dbt, APIs, Apache Airflow, etc. - Experience in data modeling and relational database design - Well-versed in applying SCD, CDC, and DQ/DV framework. - Demonstrate ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket) - Good to have experience with Cloud Platforms such as AWS, Azure, GCP and Snowflake - Good to have strong programming/ scripting skills (Python, PowerShell, etc.) - Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs) - Excellent written, and oral communication and presentation skills to present architecture, features, and solution recommendations Global functional product portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels - Global Data Product Portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management) - Why join Genpact - Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation - Make an impact - Drive change for global enterprises and solve business challenges that matter - Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities - Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day - 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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.