8 hours ago
Pune, IndiaMid Level
Responsibilities
- Analyze client requirements and design effective software and data solutions.
- Code, test, maintain, and enhance multiple application components across client projects.
- Develop, test, and deploy scalable data solutions using Databricks, PySpark, and Apache Airflow.
- Troubleshoot technical issues related to data analytics environments and optimize data pipelines through scripting and automation.
- Participate in team discussions, collaborate with cross-functional teams, and contribute solutions to work-related problems.
- Document development processes and communicate project progress.
- Share knowledge with and provide guidance to junior team members.
Requirements
- At least 3 years of experience with the Databricks Unified Data Analytics Platform.
- At least 3 years of professional experience overall.
- Proficiency in Databricks Unified Data Analytics Platform, Apache Airflow, and PySpark.
- Strong understanding of data processing and analytics workflows within cloud-based platforms.
- Experience developing, testing, and deploying scalable data solutions.
- Familiarity with scripting and automation for optimizing data pipelines.
- Ability to troubleshoot complex technical issues in data analytics environments.
- 15 years of full-time education required.
Tech Stack
Apache AirflowDatabricks
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.