Position: Data Engineer (Python) - Presight.ai
Company: SD Solutions
Experience required: 5y
Category: Data Engineer
English level: upper
Published: 2022-01-01T00:00:00+02:00

𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗱𝗼 - 𝗝𝗼𝗯 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

Understand the business data and data flows, how it is collected, consumed, and analyzed.
Work together with Product Owners, Data Owners (AI, BI, customers) and Software Architects, to
define data elements, establish and enforce database policies, procedures, and standards.
Be responsible for the data objects, their definitions, attributes, and relationships.
Minimize database downtime and mange parameters to provide fast query responses.
Ensure that good data traceability is implemented in the data analytics platform.
Create automation for repeating database tasks.
Be part of a software development team that implements cloud-based solutions based on the latest
technologies.

𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 - 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝘀𝗵𝗼𝘂𝗹𝗱 𝗵𝗮𝘃𝗲
⠀
Bachelor’s degree in computer science or a related field – A Must
5+ years of hands-on development in a high-level programming language (Java, Python) – A Must
Deep understanding and experience with data lakes, data pipelines & data warehouses in the cloud – A Must
Deep knowledge and experience with DWH models and modeling – A Must
Extensive experience in big data architectures at scale in the cloud – An Advantage
Experience with big data/large scale software engineering (Spark) – An advantage
ETL with Stream technology (Kafka or equivalent) – An Advantage
Experience as applicative DBA – An Advantage
Advanced knowledge of database security, backup and recovery, and performance monitoring – An advantage

𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀
⠀
Excellent English verbal and written communication skills
Self-motivated personality with positive attitude
Creative approach to solving problems
Must be technical, fast learner, team player

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗼𝗳𝗳𝗲𝗿
⠀
Be part of creating something new that has never been done before. The pace is fast, and it is never boring!
Make a difference. We're a lean team.