Principal Consultant-ETL Data Engineer
India-Bangalore
Applications have closed
Genpact
Artificial Intelligence. Real Outcomes. AI is changing big businesses, and so are we. Discover how cutting-edge AI drives unparalleled value.Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting Applications for the role of Principal Consultant-ETL Data Engineer!
We are seeking a seasoned ETL Data Engineer to join our dynamic team and play a pivotal role in designing, developing, and maintaining robust ETL pipelines that extract, transform, and load data into our Snowflake data warehouse. You will collaborate with cross-functional teams to ensure data quality, accuracy, and consistency, enabling informed decision-making and driving business insights.
Responsibilities:
• Analyze and understand complex business requirements to design and develop efficient ETL pipelines using Informatica ETL tools.
• Collaborate with data architects, analysts, and business users to gather and define data requirements. • Develop, test, and implement ETL pipelines for data extraction, transformation, and loading into Snowflake.
• Optimize ETL processes for performance and scalability to handle large volumes of data.
• Ensure data quality and integrity throughout the ETL process by implementing validation and error-handling mechanisms.
• Document ETL processes and procedures for knowledge sharing and maintenance.
• Troubleshoot and resolve ETL pipeline issues in a timely manner.
• Stay updated on the latest ETL technologies and best practices.
Qualifications we seek in you!
Minimum Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related field.
• hands-on experience in ETL development using Informatica ETL tools.
• Proven experience working with Informatica and Snowflake data warehouse.
• Strong understanding of SQL and data warehousing concepts.
• Experience with data modeling and data integration techniques.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
Preferred Qualifications:
• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of Python or other scripting languages.
• Experience with data quality and governance tools.
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 diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
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.
Job
Principal ConsultantPrimary Location
India-BangaloreSchedule
Full-timeEducation Level
Bachelor's / Graduation / EquivalentJob Posting
Oct 8, 2024, 9:55:42 AMUnposting Date
OngoingMaster Skills List DigitalJob Category Full Time* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data quality Data warehouse Data Warehousing Engineering ETL GCP Informatica Pipelines Python Snowflake SQL
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