Lead Python Developer for Data Analytics
13 hours ago
About Resource Quick:
We are looking for an experienced Lead Python Developer for Data Analytics to drive our data engineering and analytics initiatives forward. As a senior developer, you will have the opportunity to lead our data engineering efforts, leveraging your expertise in designing, developing, and deploying robust and scalable data solutions on AWS.
Estimated Salary: $140,000 - $170,000 per year
Job Overview:
- Develop, test, and deploy efficient data pipelines using Python and PySpark.
- Design and implement ETL processes to extract, transform, and load data from various sources.
- Optimize data pipelines for performance and scalability.
- Lead the development of cloud-native solutions on AWS, leveraging services like EC2, Lambda, S3, RDS, Redshift, and Glue.
Technical Requirements:
- Strong proficiency in Python and PySpark.
- In-depth knowledge of AWS services (EC2, Lambda, S3, RDS, Redshift, Glue).
- Experience with data warehousing and data lake concepts.
- Solid understanding of SQL and database technologies.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Experience with data visualization tools (i.e., Tableau, Power BI) is a plus.
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