Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology, and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at [...] a team:
We have exciting opportunities for a Data Engineer to join our Applied Intelligence practice, part of a larger Strategy & Consulting group. We deliver scalable, business-critical, and end-to-end solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies.
You'll learn, grow and advance in an innovative culture that thrives on shared success and diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
Working closely alongside clients and an international team of professionals, you will develop innovative solutions based on their roadmaps, through mediums such as robotics and artificial intelligence. Throughout the blueprint process, you will engage in the development of defense strategies, combining technology and user behavior, to ensure the security of your client. Together we connect the needs of clients with upcoming innovative technologies to prepare them for the future.
If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
Your job as Data Engineer:
Work across workstreams to support data requirements including reports and dashboards
Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
Develop data pipeline automation using Azure technologies stack, Databricks, Data Factory
Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data
Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools