Position: Middle/Senior Data Engineer
Company: Ciklum
Category: Data Science
Experience required: 2y
English level: intermediate
Published: 2021-02-01T00:00:00+02:00

Role of the Data Engineer is to work on the delivery of data solution along with engineers, analytics, BI developers. Data Engineer will keep close contact with the stakeholders (business, IT function, analytics team) to ensure truly data driven decision processes that meet the needs of the business.
Technology Stack: SQL, Python, AWS, Snowflake, DBT

Responsibilities:
- managing the pipelining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data;
- acquire, create and manage innovative data assets for the team;
- evaluate user requests for new or re-engineered analytics and reporting solutions to determine their feasibility, time requirements and their compatibility with current systems and architecture standards;
- active participation in the development of the data lake, data marts and subsequent enhancements, including the creation of new data solutions to support development of analytic capabilities;
- interact with stakeholders regarding data availability and report format/presentation, to ensure the report provides the information the stakeholders need without compromising the report’s accuracy.

Requirements:
- 2+ years of experience coding in SQL, Python, with solid CS fundamentals including data structure and algorithm design;
- 1+ years contributing to production deployments of large backend data processing and analysis systems;
- ability to design, implement and use effective database structures to ensure data is organized effectively and ready for downstream development of data science and analytics;
- experience working in a structured environment and desire for good documentation, exceptional delivery, effective organisation, and high-quality communication;
- hands on experience with modern data storage systems (e.g. S3, Snowflake, Athena, Glue);
- strong SQL and data profiling skills.

What's in it for you:
- close cooperation with client;
- dynamic and challenging tasks;
- ability to influence project technologies;
- projects from scratch;
- team of professionals: learn from colleagues and gain recognition of your skills;
- European management style;
- continuous self-improvement.