20 days ago
Pune, India or Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Create data pipelines and implement ETL processes to migrate and deploy data across systems.
- Ensure data quality and optimize data workflows and system performance.
- Manage large-scale data processing and integration tasks.
- Serve as a subject matter expert, make team decisions, and provide solutions across multiple teams.
- Coordinate cross-functional data engineering efforts and mentor junior team members.
- Troubleshoot and resolve complex data-related issues.
Requirements
- At least 5 years of experience with Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, PySpark, and Python.
- Strong knowledge of data pipeline architecture and ETL process design.
- Experience managing large-scale data processing and integration tasks.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- 15 years of full-time education.
Benefits
- Position based at the employer'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.