Senior Data Engineer with AWS

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, Technology and Operations services, Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 740,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

Our Technology Center solves industries and organizations’ most challenging problems with leading-edge technologies. Our Bulgarian Technology team is currently implementing complex global projects in a vast portfolio of industries – e-commerce, retail, insurance, banking, telecommunications, automotive, public sector, travel, and culture.

We are currently looking for a Senior Data Engineer with AWS with solid experienced in data engineering, machine learning and passion about Big Data. You will have the chance to join a newly created team of Data Engineers, Data Scientists and Data Analysts and be part of the growth and development of it, participate in a large variety of exciting and challenging projects and work with our exceptional team of Technology professionals.

The role is available for Sofia, Plovdiv, Varna, Burgas and Ruse.

To keep it short, below are some key responsibilities:

• Development, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related instruments/instances
• Create and run complex queries and automation scripts for operational data processing.
• Test the reliability and performance of each part of a system and cooperate with the testing team
• Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc. 
• Responsible for setting up tools to view data, generate reports, and create visuals
• Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.
• Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.
• Solve complex issues with minimal supervision
• Make improvement and process recommendations that have an impact on the business