Skip to main content Skip to footer

Descripción De La Posición

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Splunk
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization. Roles & Responsibilities: -SPL search query optimizations. -Create lookup tables, dashboards, reports, alerts, logs validation and field extraction using delimiters and regular expressions etc. -Database and infrastructure data connect to Splunk. -Performance fine tuning of concurrent searches. -Worked on complex dashboards and extensively large data sets. -Good with Splunk UI and Integrations like CMDB, Service Now, Slack, MS Teams etc. -Configured data inputs using REST API, Scripts, HTTP Event Collector (HEC). -Worked on Knowledge objects such as Look ups, Event Types, Tags, Data Models, Field Extractions using Regular Expressions (REGEX), Splunk commands, KVstores. -Develop custom Splunk apps and add-ons to enhance the functionality of the Splunk platform. -Manage Splunk indexes and ensure data is properly classified and stored. -Perform regular data grooming and archiving to maintain optimal Splunk performance. -Provide technical support to internal teams and external customers for Splunk-related issues. -Stay up to date with new Splunk features and capabilities to continuously improve our Splunk implementations. Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and processes. - Familiarity with data governance and data quality frameworks. - Knowledge of scripting languages for automation and data manipulation. - Awareness of best monitoring practices in Retail E-Commerce Industry. - Collaborate with stakeholders to identify key use cases and design Splunk dashboards to support those use cases. - Good in written/oral communication. - Proficient in MS Office. - Positive attitude and keen to learn. Additional Information: - The candidate should have minimum 3 years of experience in Splunk. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Requisitos

15 years full time education

Vida en Accenture

Ambiente Laboral

Saca lo mejor de ti todos los días en un ambiente laboral que te ayudará a impulsar innovación en todo lo que haces.

Capacitación y Desarrollo

Aprovecha tu tiempo para aprender en nuestros learning hubs, connected classrooms, cursos en línea y learning boards.

Conoce Más de Accenture

Nuestra Experiencia

Descubre cómo adoptamos el poder del cambio para crear valor y éxito compartido para nuestros clientes, personas, accionistas, socios y comunidades.

Conoce nuestra gente

Desde chicos de nuevo ingreso hasta líderes, a través de todos los negocios e industrias, conoce a nuestra gente que aprovecha la tecnología para marcar la diferencia, todos los días.

Mantente conectado

Únete a nuestro equipo

Descubre vacantes abiertas de acuerdo con tus capacidades e intereses. Buscamos personas apasionadas, curiosas, creativas que conduzcan a soluciones y quieran transformar el mundo.

Mantente actualizado

Entérate de tips para tu carrera, perspectivas y experiencias de las personas que trabajan en Accenture y que puedes llevar a cabo en tu día a día.