0 years
0 Lacs
Posted:3 weeks ago|
Platform:
On-site
Full Time
In this role, you%27ll be part of Genpact%27s transformation under GenpactNext, as we lead the shift to Agentic AI Solutions-domain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines.
Responsibilities
Manage releases, Oversee testing, PoCs , including cost evaluations, of various AWS services and other tools, AWS, Python, Spark, Databricks for ETL-Agentic AI, Strong experience in Python and SQL , Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift. Strong understanding of security principles and best practices for cloud-based environments.
Contribute in the design and review of technical solutions, translating business requirements and user stories into scalable data engineering architectures.
Conduct unit testing and data validation to ensure functional correctness of pipelines before deployment.
Contribute to production deployment and collaborate with release management to ensure seamless delivery of data solutions.
Recommend cost-effective, secure, and high-performing cloud-based data solutions, reducing manual overhead and operational burden.
Qualifications we seek in you!
Minimum Qualifications
Experience in designing, implementing data pipelines, build data applications, data migration on AWS
Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift
Experience of Databricks will be added advantage
Strong experience in Python and SQL
Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift.
Advanced programming skills in Python for data processing and automation.
Hands-on experience with Apache Spark for large-scale data processing.
Proficiency in SQL for data querying and transformation.
Strong understanding of security principles and best practices for cloud-based environments.
Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Preferred Qualifications/ Skills
Bachelor's degree in business information systems (IS), computer science or related field, or equivalent-related IT experience.
AWS Data Engineering & Cloud certifications, Databricks certifications
Familiar with multiple data integration technologies and cloud platforms
Knowledge of Change & Incident Management process
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