Data Engineering Lead

📋 Description

• Lead the architecture, design, and development of scalable data pipelines using AWS Glue, EMR, S3
• Drive enterprise data integration initiatives and the implementation of ETL/ELT workflows.
• Lead the development of reliable, scalable, and reusable data products.
• Define and maintain engineering standards, best practices, and development guidelines.
• Conduct technical design reviews and code reviews to ensure solution quality and consistency.
• Optimize data pipelines for performance, data quality, processing efficiency, and scalability.

🎯 Requirements

• Strong experience in AWS data engineering, particularly Amazon S3, AWS Glue, and Amazon EMR.
• Proficiency in Python, PySpark, SQL, and ETL/ELT development.
• Expertise in designing, developing, and optimizing large-scale data pipelines.
• Solid experience with enterprise data integration and complex data engineering environments.
• Proven ability to provide technical leadership, establish engineering standards, and conduct code
• Experience mentoring and guiding data engineering teams.

🎁 Benefits

• Permanent remote working model, with flexibility to work from anywhere within the eligible
• Flexible working arrangements adapted to individual, customer, and business needs.
• Potential for part-time schedules and working hours outside the traditional 9-to-5 framework.
• Welcome Back Program supporting individuals returning to work after an extended absence due to
• Inclusive and diverse working environment that values different perspectives and individual
• Opportunities to make a meaningful impact, develop your expertise, and grow professionally.