Data Engineer

Team: D&T - Data Platform (Domain: Snowflake, Informatica Tableau (asset) , SQL, ETL, Airfl ow)

Term: Contract - 3 months with possibility of renewal/extension

CORE WORK:

● Design and develop data pipelines to ingest, store, and transform data from a variety of sources

● Develop data models and algorithms to optimize data architecture

● Monitor data quality and performance, and provide troubleshooting when needed

● Accelerate data-informed decision-making to transform our product and engineering strategy

● Collaborate with cross-functional teams to design and implement data models and data warehouse architecture that supports business needs.

● Optimize the performance of our data pipelines and data warehouse by implementing best practices and continuous improvement.

● Generate design recommendations and the ability to implement them

● Documentation of the work in Confluence

Ideal Candidate (Experience and Skills):

● CRITICAL SKILLS

○ Demonstrated mastery of data warehousing, data modeling, ETL/ELT processes, SQL, Python, and cloud technologies. Expert-level understanding of data architecture principles and best practices. ○ Exceptional analytical and problem-solving skills, with a proven track record of resolving complex data challenges and providing innovative solutions. ○ A proactive, self-starter with a strong sense of ownership and accountability. Ability to drive projects independently and collaborate eff ectively in a team environment. ○ Possess strong programming skills in Python, along with experience in other languages like Java or Scala. ○ Strong documentation skills.

● EXPERIENCES

○ University degree in Computer Science or related fi eld. Continued Information Technology training through formal courses and personally initiated improvement is required.

○ A minimum of 10 years of experience as a data engineer, with at least 3+ years in a senior or lead role.

○ A demonstrated history of successful project delivery, including designing and implementing complex data solutions at scale.

○ A minimum of 10 years of experience with advanced SQL, Python, and cloud technologies. Proficiency in data warehousing tools (Snowflake), ETL/ELT tools (Informatica IICS), and cloud platforms (AWS).

○ A proactive, self-starter with a strong sense of ownership and accountability. Ability to drive projects independently and collaborate effectively in a team environment. ○ Skilled in Airflow-based data pipeline management & deep understanding of Audit Balance Control for data integrity & compliance.

Work Environment:

● In office 4 days a week working and 1 day work from home, totaling 40 hrs per week

● Term: 3 months with possibility of extension

DSI Recruiting

Open Positions

Senior Snowflake Developer