Lead Consultant, Data Engineer ETL!

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 LeadConsultant, Data Engineer 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

Bachelor’s degree in computer science (CS), applied mathematics (AM), engineering (ENG), or any other technology-related field. Equivalent working experience is also acceptable.

experience contributing to or leading a team in a similar role within the field of software development or data engineering.

Key Skill Sets

Hands-on programming experience based on Test Driven Development (TDD), usually in a pair programming environment.

Proficiency in designing scalable ETL pipelines from various sources / formats.

Strong knowledge of best practices for Airflow DAG management, scheduling, monitoring.

Experience with big data technologies such as Hadoop or Spark is preferred but not mandatory.

Expertise in programming languages like Java, Python, R or Scala.

Preferred Qualifications

Master’s degree in CS / AM / ENG or related fields is highly desirable but not mandatory

hands-on experience specifically focused on developing ETL processes

Knowledgeable about cloud computing platforms like AWS / Azure / GCP