Senior Data Engineering Specialist
7 days ago
About the Role:
We are seeking a highly skilled Senior Data Engineer to leverage their expertise in designing and deploying cloud-native solutions, managing large datasets, and developing scalable ETL and orchestration solutions at Resource Quick.
Key Responsibilities:
- Develop robust and scalable Python and PySpark applications to support data engineering and analytics initiatives.
- Design and deploy cloud-native solutions on AWS, leveraging services like EC2, Lambda, S3, RDS, Redshift, and Glue.
- Manage and transform large datasets, ensuring efficient data ingestion and migration through well-designed pipelines.
- Utilize SQL Server and stored procedures for effective data management and transformation.
- Develop, deploy, and manage scalable ETL and orchestration solutions.
Requirements:
- Strong proficiency in Python and PySpark.
- Hands-on experience with AWS services (EC2, Lambda, S3, RDS, Redshift, Glue).
- Solid understanding of data engineering principles and practices.
- Experience with SQL Server and stored procedures.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Compensation Package:
The estimated salary range for this role is $142,000-$162,000 per year, depending on qualifications and experience.
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