
Senior Data Engineering Lead
20 hours ago
We are looking for a seasoned Data Engineer to spearhead our data initiatives.
Key Responsibilities
- Lead the design, development, and implementation of data pipelines using AWS services like EMR, AWS Glue, AWS Lambda, and Athena.
- Develop and maintain high-quality code in Python and Spark, adhering to best practices and standards.
- Collaborate with cross-functional teams to drive business outcomes through data-driven insights.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
- Stay up-to-date with emerging trends and technologies in data engineering, applying knowledge to improve processes and solutions.
Requirements
- 10-15 years of experience in data engineering, with expertise in AWS services and cloud-native architectures.
- Strong background in software architecture, solution design, and mentoring.
- Expertise in Python, Spark, and ETL data processing.
- Demonstrable experience in implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, and Athena.
- Master's degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous.
Benefits
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Other Information
This role requires a strong technical foundation, excellent communication skills, and the ability to translate complex technical concepts into actionable insights.
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