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 Senior Manager – Senior Data Engineer
As a Senior Data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the RD department, including ETL/ELT processes, working closely with architects and development teams.
Responsibilities
· Lead the design and implementation of scalable data architecture solutions.
· Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
· Identify ways to improve data reliability, efficiency, and quality.
· Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
· Optimize complex SQL queries and perform performance tuning.
· Participate in Scrum and Agile development processes.
· Implement and manage relational and non-relational databases.
Qualifications we seek in you
Minimum Qualifications
· Proven experience leading, designing, and implementing data architecture at an enterprise level.
· Proven experience working with relational databases (for example, PostgreSQL, MSSQL or MySQL).
· Proven experience working with Elasticsearch.
· Proven experience working with non-relational databases (for example, MongoDB or Cassandra).
· Be exceptionally strong in SQL development - complex queries and performance tuning.
· Implement and manage ETL/ELT processes for data integration and transformation.
· Proficiency in Azure and Azure Data Factory for data integration and transformation.
· Experience with Scrum and Agile methodology.
· Fluent in spoken and written English.
Preferred Qualifications/ Skills
· Experience with big data technologies such as Hadoop, Spark, or Kafka.
· Experience with Databricks or similar data processing platforms.
· Familiarity with data warehousing solutions.
· Knowledge of data governance and data security practices.
Certification in Azure or other relevant technologies.
· University or college degree in Computer Science or a related discipline.
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.