Senior Data Engineer

Tosca
  • Schelle
  • Post Date: October 6, 2024
    • 12166
  • Applications 0
  • Views 8
Job Overview

Job Overview
We are seeking a highly motivated and technically skilled Data Engineer to join our dynamic team. This role is ideal for individuals with 6+ years of experience in data engineering who want to leverage their expertise in cloud and ETL tools to become a thought leader. The successful candidate will work closely with the local team to meet the day-to-day BI & Analytics infrastructure needs and report to the Global Data Architect, based in the US, to optimize the cloud data infrastructure to meet longer-term strategic goals.
Key Responsibilities:
Strategic Collaboration: Partner with the Global Data Architect to ensure technical strategies align with overarching organizational principles and long-term goals.Data Infrastructure Development: Lead the design and evolution of scalable, robust data pipelines and cloud-based solutions that drive strategic business initiatives.Cross-functional Engagement: Collaborate with various teams to understand business objectives, translating them into effective data strategies and high-quality data solutions.Efficiency Optimization: Develop and implement strategies to enhance data storage and retrieval processes, focusing on scalability and operational efficiency.Data Governance Leadership: Champion data integrity and security initiatives, ensuring compliance with industry standards and organizational policies.Technical Excellence: Foster a culture of technical excellence by participating in and influencing code reviews, staying abreast of emerging technologies, and continuously improving technical skills.Innovation in Data Utilization: Drive innovative uses of data by integrating predictive models and advanced analytics into the data infrastructure.
Qualifications:
Require minimal supervision and demonstrate sound technical judgment in decision-making.6+ years of proven experience in data engineering, with a strong focus on cloud and ETL tools.Expert-level SQL skills and experience with various relational databases.Proficient with AWS Redshift, Snowflake, or Azure; DBT; Git; and Fivetran or other data pipeline tools.Experience in implementing and managing data governance and data quality best practices.Understanding of cloud cost control principles.Excellent communication abilities and the ability to influence without direct authority.
Preferred Qualifications:
Degree in Data Science, Industrial Engineering, and/or Supply Chain experience.Experience deploying predictive models into production environments.Proficiency in at least one programming language used for predictive modeling/analytics (Python or R).

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