
Senior Data Engineer Role
3 days ago
Achieve meaningful change with us, harnessing technology to drive innovation. With a collaborative mindset and world-class engineering, we partner with leading brands to create dynamic platforms and intelligent digital experiences.
Main Responsibilities:- Design, develop, and optimize data pipeline solutions on Databricks and related cloud platforms.
- Collaborate with data scientists, analysts, and engineers to ensure data infrastructure supports advanced analytics and business insights.
- Contribute to Data Architecture and Solution Design, helping to build Proof of Concepts.
- Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security.
- Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
- Solid understanding of data warehousing concepts and dimensional data modeling.
- Hands-on experience with relational database systems and SQL (e.g., PostgreSQL) and familiarity with NoSQL databases (e.g., MongoDB).
- Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
- Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus.
- Career coaching, global career opportunities, non-linear career paths, internal development programs for management and technical leadership.
- Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences.
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