
Senior Data Engineering Leader
21 hours ago
Job Summary:
We are seeking a Senior Data Engineer to lead the development and maintenance of our data pipeline architecture. This is a critical role that will play a pivotal part in shaping our data strategy.
- Design, build, and maintain highly scalable data pipelines to support advanced analytics and machine learning.
- Collaborate with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.
- Develop automated frameworks for cleaning, validation, correction, and enrichment of data.
Key Responsibilities:
- Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for stakeholders.
- Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
- Establish best practices for data quality, governance, security, and compliance.
- Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.
- Mentor junior engineers and provide technical guidance.
Requirements:
- 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
- Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
- Advanced SQL skills and strong experience with relational and columnar database systems.
- Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi).
- Solid programming background (Python, Scala, or Java) for data processing and automation.
What We Offer:
As a Senior Data Engineer at our company, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and grow your career in a dynamic and supportive environment.
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