1 month ago
Pune, India +3 moreSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build data pipelines and implement ETL and ELT processes across systems.
- Design data foundations and end-to-end data solutions for business stakeholders.
- Deliver data foundation initiatives and support data strategy implementation.
- Perform data integration, ingestion, manipulation, processing, and modeling.
- Coordinate change management, incident management, and problem management processes.
- Serve as a data subject matter expert and present reports and findings to stakeholders.
- Drive implementation efficiency across pilots and future projects.
- Mentor junior engineers and contribute to community-building initiatives such as centers of excellence and communities of practice.
Requirements
- At least 7.5 years of experience is required; the posting also specifies 6–8 years of experience.
- 15 years of full-time education is required.
- Mastery of AWS, Azure, or SAP; ELT; data modeling; data integration and ingestion; and data manipulation and processing.
- Experience with GitHub, GitHub Actions, Azure DevOps, Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, and Redshift.
- Strong communication skills for working with technical developers, business managers, leaders, and staff.
- Ability to act as a data engineering subject matter expert and mentor junior engineers.
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.