NTT DATA is seeking a skilled Senior AWS Developer with over 6 years of experience to join our team in Pune, India. This role focuses on building and managing robust cloud-based data and application solutions. The ideal candidate possesses extensive hands-on expertise in AWS services, data processing frameworks, and Python development, with a proven ability to architect scalable, secure, and efficient cloud environments.

We are looking for innovative and passionate individuals ready to grow with us in an inclusive and forward-thinking organization. If you are driven to excel and contribute to impactful projects, we encourage you to apply.

Key responsibilities include designing, developing, and deploying scalable data pipelines and applications leveraging AWS services. You will develop and maintain ETL workflows using AWS Glue, orchestrating processes with AWS Step Functions and MWAA. Building serverless applications and automation solutions with AWS Lambda is crucial, as is working with Starburst/Trino for distributed SQL query processing.

Further responsibilities involve integrating on-premise and cloud environments using AWS Storage Gateway, writing efficient Python code for data processing and automation, and collaborating with cross-functional teams to deliver cloud-based solutions. Monitoring, troubleshooting, and optimizing AWS services, along with ensuring adherence to security, cost optimization, and cloud governance best practices, are also vital aspects of this role.

Essential qualifications include strong hands-on experience with AWS Glue, Lambda, MWAA, Step Functions, and Storage Gateway. Candidates must possess Asset Management Domain Experience and experience working with Starburst/Trino or similar distributed query engines. Proficiency in Python programming and a good understanding of data engineering concepts, ETL processes, and data pipelines are required.

Additional requirements encompass experience with cloud architecture, serverless computing, and workflow orchestration. Familiarity with CI/CD pipelines and DevOps practices, alongside strong problem-solving and analytical skills, are also necessary. Preferred qualifications include experience with data lakes, big data technologies, AWS security and compliance, and AWS certifications.