SENIOR DATA ENGINEER WITH AWS

Location: Wrocław / Warsaw / Katowice
Hybrid model: 2 days office/3 days remote
Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY.

THE OPPORTUNITY

We are looking for a top-notch technology savvy specialists willing to move our projects on the new track! You will use the most advanced technology stack and have an opportunity to implement new solutions while working with top leaders in their industries. As a part of our global team you will participate in international projects mostly based and implemented on major three cloud providers (Azure, GCP, AWS).

SKILLS AND ATTRIBUTES FOR SUCCESS

Solving complex business problems on a large scale. Participating in cross-functional initiatives and collaborating across various domains. Interacting with engineers, product/project managers, and partners from all over the world.

THE EXCEPTIONAL EY EXPERIENCE. IT’S YOURS TO BUILD

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions

YOUR KEY RESPONSIBILITIES

As a Big Data developer you are responsible for building software that enables our clients and business partners to make efficient decisions with ease. You are able to design robust solutions on state-of-the-art compute engines such as Databricks, Presto, and modern data warehousing solutions (Synapse, BigQuery, Redshift or Snowflake).

TO QUALIFY FOR THE ROLE, YOU MUST HAVE

• You are proficient in SQL and at least one programming language (Python/Java/Scala)
• Experience with AWS data stack or Azure
• You have a background in data pipelining, distributed data processing, software engineering components, and data modeling concepts (Spark)
• Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
• Experience with T-SQL or PL/SQL
• Experience with Python (including Numpy, Panda libraries)
• Experience with Databricks, Spark
• Strong Experience with design techniques of relational databases
• Strong Experience with concepts such as Data Marts, Data Warehouses, Data Lakes
• Very good English (verbal and written)
• Experience in using Agile methodologies (Scrum, Kanban, etc.)