20 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, migration, and deployment.
- Create, optimize, and monitor scalable data pipelines, workflows, and ETL processes.
- Lead the design and implementation of scalable data architectures.
- Ensure data quality, integrity, performance, security, and governance.
- Troubleshoot and resolve complex data-related issues across distributed systems.
- Act as a subject matter expert, manage team activities, and make team decisions.
- Collaborate with multiple teams and stakeholders on key decisions and organizational data objectives.
- Provide cross-team solutions, facilitate knowledge sharing, and mentor team members.
Requirements
- At least 12 years of experience in Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform, Python, and PySpark.
- Strong expertise building and optimizing data pipelines and workflows with modern data engineering tools.
- Experience managing large-scale data processing and integration across distributed systems.
- Ability to troubleshoot complex data-related issues and maintain data integrity and performance.
- Familiarity with cloud-based data platforms and data security and governance best practices.
- 15 years of full-time education.
Benefits
- Position based at the company’s Bengaluru office.
Tech Stack
DatabricksPython
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.