Senior Data Engineer (GCP preferred / Azure / AWS) (m/f/d)

Odmeňovanie

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3 100 EUR/month.

We are hiring to our team who will develop, construct, test, and maintain data architectures, including databases and large‑scale processing systems, ensuring that these architectures fully support the requirements of the business.

In this role, the Senior Data Engineer plays a collaborative part, working closely with the business’s Data and Analytics teams, gathering technical requirements and contributing to exceptional data governance across the organization.

What will you do?

Responsibilities

• Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
• Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment.
• Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs.
• Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities.
• Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining.
• Works with data to solve business problems and build and maintain the infrastructure to answer questions with data.
• Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.
• Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.

Requirements

• Education in Information technologies –– Master’s degree.
• 5 years of experience with ICT Analysis, Architecture & Design.
• Expert experience with cloud solutions, preferably GCP, or Azure, or AWS, in the range of data processing.
• Advanced machine learning skills.
• Expert experience with Data Analytics – visualization.
• Expert experience with Big Data, such as MapReduce, Hive, HDFS, YARN, HBase, and Oozie.
• Advanced experience with data processing methods, including Kafka and Spark.