Data Engineering Manager

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Requirements:

• 5+ years of experience in data engineering, with 2+ years in a leadership role.
• Strong experience with Python, SQL, and Snowflake.
• Familiarity with AWS Services like Lambda, Glue, and S3.
• Knowledge of data governance, security, data modeling principles, and data quality monitoring.
• Experience with DataOps practices such as orchestration and CI/CD.
• Excellent communication skills for both technical and non-technical audiences.
• Strong analytical skills and business acumen.
• Business fluency in English.

Responsibilities:

• Architect and oversee data infrastructure to support advanced analytics, real-time insights, and machine learning.
• Create high-performance data pipelines integrating diverse data sources for real-time and batch processing.
• Collaborate with Data Science, Engineering, and Product teams for impactful data-driven solutions.
• Establish data engineering standards focusing on governance, security, and compliance.
• Guide the data engineering team through code reviews and foster a high-performing culture.
• Design and maintain ETL/ELT processes ensuring data accuracy and accessibility.
• Lead planning and prioritization for data engineering initiatives focusing on ROI and long-term value.