2 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions and pipelines for data generation, collection, and processing.
- Implement ETL processes to migrate and deploy data across systems.
- Ensure data quality and troubleshoot complex data-related issues.
- Optimize data workflows and improve system performance.
- Act as a subject matter expert, manage team execution, and make team decisions.
- Collaborate with multiple teams and contribute to key technical decisions.
- Mentor junior team members and coordinate cross-functional data initiatives.
Requirements
- Minimum 7.5 years of experience with Databricks Unified Data Analytics Platform.
- 15 years of full-time education.
- Proficiency in Databricks Unified Data Analytics Platform, Python, and PySpark.
- Strong knowledge of data pipeline architecture and ETL process design.
- Experience managing large-scale data processing and integration tasks.
- Ability to troubleshoot and resolve complex data-related issues.
- Familiarity with cloud-based data platforms and distributed computing environments.
Benefits
- The position is 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.