As a Data Engineer at Accenture, you will play a crucial role in transforming data into actionable insights for our clients. You will work with a diverse team, leveraging the latest technologies to develop robust data pipelines and enhance data integration processes.
Key Responsibilities
- Design and implement data ingestion frameworks.
- Create new data pipelines using Azure Data Factory and other tools.
- Develop and enhance data transformation processes to load data into Enterprise Data Lake and Delta Lake.
- Orchestrate data pipelines effectively within Azure Data Factory, ensuring efficient data flow and processing.
- Conduct unit testing and coordinate integration testing and User Acceptance Testing (UAT).
- Produce High-Level Designs (HLD), Detailed Designs (DD), and runbooks for data pipeline processes.
- Configure computing resources, data quality rules, and maintenance tasks.
- Engage in performance tuning and optimization of data workflows.
Basic Qualifications
- Experience. Minimum of 3 years in Data Engineering, with expertise in:
- Databricks Data Engineering
- Azure Data Factory
- SQL and PySpark
- Azure Synapse Analytics
- Azure DevOps, Python, Azure Functions, and Logic Apps
Preferred Qualifications
- Knowledge of data modeling and data warehousing concepts.
- Familiarity with data governance and compliance requirements.
What We Offer
- Competitive rewards and access to benefits programs.
- Opportunities for continuous learning and career growth.
- A commitment to diversity and an inclusive work environment.
Join Accenture and be part of a dynamic team that leverages technology to drive business transformation and deliver exceptional results for our clients!