AWS Data Engineer
1 month ago
About the Role:
Tiger Analytics is a leading advanced analytics consulting firm, and we're looking for a highly skilled AWS Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure.
Key Responsibilities:
- Design and develop end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
- Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
Requirements:
- 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Strong experience with Databricks and Apache Spark for data processing and analytics.
- Hands-on experience with Apache Airflow for orchestrating and scheduling data pipelines.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
- Strong problem-solving skills and attention to detail.
What We Offer:
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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