Cloud Data Engineering Team Lead
1 week ago
We are seeking a highly skilled and experienced Cloud Data Engineering Team Lead to lead and manage our big data and cloud-based solutions team. As an Engineering Manager, you will be responsible for designing, developing, and optimizing large-scale Batch data processing applications, while also leading a team of talented engineers.
Key Responsibilities:
- Lead, mentor, and manage a team of engineers working on cloud-based big data applications and services.
- Design, develop, and maintain large-scale Batch data processing pipelines using AWS services (EMR, Athena, Glue, S3) and Apache Airflow.
- Architect and implement data solutions using Python, PySpark, and big data frameworks to handle complex datasets efficiently.
- Collaborate with product management, Business, Platform Infrastructure and DevOps teams to define project requirements and deliver high-quality, scalable solutions.
- Ensure the team's development efforts follow best practices in coding, security, and data management.
- Optimize performance, reliability, and cost-effectiveness of data pipelines and cloud infrastructure.
- Drive continuous improvement in engineering processes, ensuring the team's deliverables meet quality and performance benchmarks.
- Stay updated on emerging technologies and industry trends, and guide the adoption of new tools and processes to enhance engineering efficiency.
Qualifications:
Awarding Salary Range: $120,000 - $180,000 per year
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8 - 10 years of experience in software engineering, with at least 3+ years in a leadership or management role.
- Strong hands-on experience with AWS services including EMR, Athena, Glue, S3, and Apache Airflow.
- Expertise in Big Data technologies, especially with Python, PySpark, and distributed data processing frameworks.
- Proven experience in designing and developing scalable and reliable data pipelines and applications.
- Solid understanding of data architecture, data modeling, and ETL processes.
- Strong leadership, communication, and project management skills, with the ability to collaborate effectively with cross-functional teams.
- A background in cloud infrastructure and DevOps practices for big data environments is a plus.
Additional Requirements:
- Experience with other cloud platforms or tools, such as Google Cloud Platform (GCP) or Azure.
- Knowledge of data warehousing, data lakes, and streaming data technologies.
- Experience working in an Agile/Scrum development environment.
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