15 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and optimize scalable data pipelines and ETL workflows using PySpark.
- Lead the design and implementation of scalable data architectures.
- Ensure data quality, consistency, migration, and deployment across systems.
- Troubleshoot and resolve complex data-related issues and perform performance tuning.
- Act as a subject matter expert, make team decisions, and provide solutions spanning multiple teams.
- Collaborate with stakeholders and multiple teams to translate data needs into technical solutions.
- Mentor junior team members and support their professional development.
Requirements
- At least 12 years of experience in PySpark is required.
- Proficiency in PySpark and strong experience building and optimizing PySpark data pipelines and workflows.
- In-depth knowledge of data processing frameworks and distributed computing concepts.
- Ability to troubleshoot complex data-related issues efficiently.
- Familiarity with cloud-based data platforms and storage solutions.
- Experience with performance tuning and maintaining data quality and consistency across systems.
- 15 years of full-time education is required.
Benefits
- The position is based at the employer’s Bengaluru office.
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.