Principal AWS Data Engineer
Location : Bangalore
Experience : 9 - 12 years
Job Summary: In this key leadership role, you will lead the development of foundational components for a Lakehouse architecture on AWS and drive the migration of existing data processing workflows to the new Lakehouse solution. You will work across the Data Engineering organisation to design and implement scalable data infrastructure and processes using technologies such as Python, PySpark, EMR Serverless, Iceberg, Glue and Glue Data Catalog. The main goal of this position is to ensure successful migration and establish robust data quality governance across the new platform, enabling reliable and efficient data processing. Success in this role requires deep technical expertise, exceptional problem-solving skills, and the ability to lead and mentor within an agile team.
Must Have Tech Skills:
· Prior Principal Engineer experience, leading team best practices in design, development, and implementation, mentoring team members, and fostering a culture of continuous learning and innovation
· Extensive experience in software architecture and solution design, including microservices, distributed systems, and cloud-native architectures.
· Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
· Deep technical knowledge of AWS data services and engineering practices, with demonstrable experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena
· Experience of delivering Lakehouse solutions/architectures
Nice To Have Tech Skills:
· Knowledge of additional programming languages and development tools to provide flexibility and adaptability across varied data engineering projects
· A master’s degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous
Key Accountabilities:
- Lead complex projects autonomously, fostering an inclusive and open culture within development teams. Mentor team members and lead technical discussions.
- Provides strategic guidance on best practices in design, development, and implementation. Leads the development of high-quality, efficient code and develops necessary tools and applications to address complex business needs
- Collaborates closely with architects, Product Owners, and Dev team members to decompose solutions into Epics, leading the design and planning of these components.
- Drive the migration of existing data processing workflows to a Lakehouse architecture, leveraging Iceberg capabilities.
- Serves as an internal subject matter expert in software development, advising stakeholders on best practices in design, development, and implementation
Key Skills:
- Deep technical knowledge of data engineering solutions and practices. Expert in AWS services and cloud solutions, particularly as they pertain to data engineering practices
- Extensive experience in software architecture and solution design
- Specialized expertise in Python and Spark
- Ability to provide technical direction, set high standards for code quality and optimize performance in data-intensive environments.
- Skilled in leveraging automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.
- Exceptional communicator who can translate complex technical concepts for diverse stakeholders, including engineers, product managers, and senior executives.
- Provides thought leadership within the engineering team, setting high standards for quality, efficiency, and collaboration. Experienced in mentoring engineers, guiding them in advanced coding practices, architecture, and strategic problem-solving to enhance team capabilities.
Educational Background:
- Bachelor’s degree in computer science, Software Engineering, or a related field is essential.
Bonus Skills:
- Financial Services expertise preferred, working with Equity and Fixed Income asset classes and a working knowledge of Indices.
La comunidad de Cognizant:
Somos un equipo de alto calibre que se aprecia y se apoya mutuamente. Nuestra gente defiende un lugar de trabajo enérgico, colaborativo e inclusivo donde todos puedan prosperar.
- Cognizant es una comunidad global con más de 300.000 asociados en todo el mundo.
- No solo soñamos con una mejor manera, sino que la hacemos realidad.
- Cuidamos a nuestra gente, clientes, empresas, comunidades y el clima haciendo lo correcto.
- Fomentamos un entorno innovador en el que puedes construir la trayectoria profesional adecuada para ti.
Sobre nosotros:
Cognizant es una de las principales empresas de servicios profesionales del mundo, transformando los modelos comerciales, operativos y tecnológicos de los clientes para la era digital. Nuestro enfoque consultivo único basado en la industria ayuda a los clientes a visualizar, construir y ejecutar negocios más innovadores y eficientes. Con sede en los Estados Unidos, Cognizant (miembro del NASDAQ-100 y uno de los Mejores Empleadores Mundiales de Forbes 2024) figura constantemente entre las empresas más admiradas del mundo. Descubre cómo Cognizant ayuda a los clientes a liderar con lo digital en nuestro sitio
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
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Disclaimer:
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
Es posible que se requiera que los solicitantes asistan a entrevistas en persona o por videoconferencia. Además, es posible que se requiera que los candidatos presenten su identificación actual emitida por el estado o gobierno durante cada entrevista.
Aunque nuestro sistema permite la postulación en todos los idiomas, el (los) idioma(s) y el (los) nivel(es) de competencia requeridos para el trabajo varían. Sin embargo, se requiere un nivel básico de inglés para fines de comunicación en toda la empresa.