2 months ago
Pune, IndiaStaff+
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.
- Lead the design and implementation of scalable data architectures.
- Ensure data quality and optimize data storage and retrieval for performance and scalability.
- Manage large-scale data processing and transformation workflows.
- Act as an SME, manage team performance, and make team decisions.
- Collaborate with multiple teams and provide solutions applicable across teams.
- Mentor junior team members and promote technical best practices.
- Coordinate cross-functional efforts to align data strategies with organizational goals.
Requirements
- Minimum 12 years of experience is required, including at least 12 years of experience with Databricks Unified Data Analytics Platform.
- Proficiency in Databricks Unified Data Analytics Platform and PySpark.
- Strong knowledge of data pipeline development and orchestration techniques.
- Experience managing large-scale data processing and transformation workflows.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Ability to optimize data storage and retrieval for performance and scalability.
- 15 years of full-time education is required.
Benefits
- The position is based at the company's Pune 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.