We Are
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and, Interactive, Technology, and Operations services, all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 738,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com. 
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
The Work
Technical Development:
Design and implement scalable, high-performance streaming and batch data processing solutions using Spark Streaming and related technologies.
Develop backend applications and services using Java Spring Boot to support data pipelines and integrations.
Write, review, and optimize code for data ingestion, transformation, and analytics.
Migration Expertise:
Lead the migration of Hadoop-based systems to GCP, ensuring seamless transition and minimal disruption.
Implement GCP services such as Dataproc, BigQuery, and Cloud Storage for data processing and analytics.
Develop and maintain tools to automate and streamline migration processes.
Performance and Troubleshooting:
Diagnose and resolve performance bottlenecks in Spark jobs, SQL queries, and streaming workflows.
Optimize resource utilization for cloud-based and on-premises data systems.
Analyze system logs and metrics to troubleshoot issues and ensure reliability.
Collaboration and Mentorship:
Work closely with cross-functional teams to align on technical requirements and deliverables.
Provide technical guidance and mentorship to junior team members to improve their skills in Spark Streaming, Java Spring Boot, and Big Data tools.
Architecture and Design:
Architect Big Data solutions that are cost-effective, maintainable, and aligned with organizational goals.
Develop reusable frameworks and libraries to accelerate project development and improve code quality.