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Genpact

Consultant, Data Engineer Airflow ETL

Early Applicant
  • 12 days ago
  • Be among the first 50 applicants
Exp: 0-1 Years

IT/Computers - Hardware & Networking

(estd)

Job Description

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 Consultant, Data Engineer Airflow ETL!
Responsibilities
. Design scalable implementations of the models.
. Develop, maintain, and optimize ETL processes for seamless integration between cloud-based and on-premises systems.
. Build and maintain databases, data warehouses, and data lakes that meet various customer needs.
. Automate data workflows ensuring high integrity, quality, and availability of data across systems.
. Provide technical support to various departments with database problems to maximize utilization.
. Review contracts for database support services research, evaluate, and recommend new databases.
. Advise clients on using different distributed storage and computing technologies from the plethora of options available in the ecosystem.
Qualifications we seek in you!
Minimum Qualifications
1. Bachelor&rsquos degree in computer science (CS), applied mathematics (AM), engineering (ENG), or any other technology-related field. Equivalent working experience is also acceptable.
2. experience contributing to or leading a team in a similar role within the field of software development or data engineering.
3. Key Skill Sets
4. Hands-on programming experience based on Test Driven Development (TDD), usually in a pair programming environment.
5. Proficiency in designing scalable ETL pipelines from various sources/formats.
6. Strong knowledge of best practices for Airflow DAG management, scheduling, monitoring.
7. Experience with big data technologies such as Hadoop or Spark is preferred but not mandatory.
8. Expertise in programming languages like Java, Python, R or Scala.

Preferred Qualifications
1. Master&rsquos degree in CS/AM/ENG or related fields is highly desirable but not mandatory
2. hands-on experience specifically focused on developing ETL processes
3. Knowledgeable about cloud computing platforms like AWS/Azure/GCP

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 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.

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Date Posted: 12/11/2024

Job ID: 100064785

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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.

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