Business Architecture

We Are:
Accenture Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for.

You Are:
A hands-on data professional who knows how to develop, design, and maintain cloud data infrastructures that work for our clients. You have a strong foundation in implementing data solutions. With your experience in modern data technologies, you excel at transforming complex data challenges into actionable insights that drive business outcomes. You are a next-generation thinker, a collaborative team player when it comes to what we call Data in the New.

You know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. Your ability to communicate technical concepts to both technical and non-technical stakeholders make you an invaluable asset to any project.

WORK YOU'LL DO
Analyze large and complex datasets to extract actionable insights and identify trends.

• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design experiments and interpret results to test hypotheses and validate models.
• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
• Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
• Design and implement data models using programming languages, such as SQL, NoSQL, Python, Scala
• Monitor data systems performance and implement optimization strategies. Test, debug, analyze and fixe application problems/issues while working in close collaboration with stakeholders.
• Work with the project manager, architects, and other team members to define metrics and performance goals for the application.
• Participate in transitioning the requirements and use cases to ensure a clear and complete understanding of the requirements.
• Assist in translating requirements and use cases into test conditions and expected results for product, performance, and user acceptance testing.
• Participate in quality management reviews, in particular reviews of the designs, and requirements work products to ensure they fulfill the requirements