PySpark Developer at Accenture
Accenture · Not specified · Posted today
About this role
Accenture is seeking experienced data engineers with a minimum of 5 years of hands-on PySpark expertise to join their data engineering team. You will design, develop, and optimize large-scale data processing solutions using PySpark and big data technologies. The role involves building robust ETL pipelines, managing data workflows, and ensuring optimal performance across distributed systems. You will work with modern cloud platforms like AWS to deliver scalable data solutions for enterprise clients.
Skills required
Key responsibilities
Design and develop scalable ETL pipelines using PySpark for large-scale data processing
Optimize data processing workflows and improve system performance across distributed computing environments
Implement data solutions on AWS cloud infrastructure with focus on cost-efficiency and reliability
Collaborate with data scientists and business analysts to translate requirements into technical implementations
Troubleshoot and resolve complex data engineering issues while maintaining code quality and documentation standards
About Accenture
Accenture is a global professional services company delivering digital transformation, cloud, and security services to Fortune 500 companies and enterprises worldwide. Known for fostering innovation and technical excellence, Accenture provides a collaborative environment where engineers can work on cutting-edge big data and cloud projects. The company invests heavily in employee development and offers opportunities to work with leading technologies and industry experts.
Why you should apply
Work on enterprise-scale big data projects with Fortune 500 clients using cutting-edge technologies
Develop expertise in AWS cloud platforms and modern data engineering practices valued across the industry
Join a global organization that invests in continuous learning and offers clear career progression pathways
Interview preparation tips
Prepare detailed examples of PySpark projects you’ve built, focusing on optimization techniques and performance improvements you achieved
Be ready to discuss your experience with Hadoop ecosystems and how you’ve handled distributed data processing challenges
Demonstrate your AWS knowledge by explaining specific services you’ve used for data engineering tasks like S3, EMR, and Glue
Practice coding problems related to data transformation and ETL logic, as technical assessments are common for this role
Career growth path
Ready to apply?
Keep your updated resume, transcripts, and cover letter ready before you start the application.
Apply via Email: anuj.attri@accenture.com
Check the official careers page for deadline and instructions
Frequently asked questions
Get free daily IT job alerts
Join thousands of IT professionals getting daily job updates on WhatsApp and Telegram.
Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.
