AWS Data Engineer
1 week ago
Title: Data Engineer
Location: Torrance, CA
Duration: 18 Months
Hybrid less than 60% in office
NOTE: only accepting candidates that can work on iSpace W2 (no c2c or 1099)
Job Description:
Daily Tasks Performed
- Develop and Maintain Data Integration Solutions:
- Design and implement data integration workflows using AWS Glue/EMR, Lambda, Redshift
- Demonstrate proficiency in PySpark, Apache Spark and Python for data processing large datasets
- Ensure data is accurately and efficiently extracted, transformed, and loaded into target systems.
- Ensure Data Quality and Integrity:
- Validate and cleanse data to maintain high data quality.
- Ensure data quality and integrity by implementing monitoring, validation, and error handling mechanisms within data pipelines
- Optimize Data Integration Processes:
- Enhance performance, optimization of data workflows to meet SLAs, scalability of data integration processes and cost-efficiency on AWS cloud infrastructure.
- Identify and resolve performance bottlenecks, fine-tuning queries, and optimizing data processing to enhance Redshift's performance
- Regularly review and refine integration processes to improve efficiency.
- Support Business Intelligence and Analytics:
- Translate business requirements to technical specifications and coded data pipelines
- Ensure timely availability of integrated data for business intelligence and analytics.
- Collaborate with data analysts and business stakeholders to meet their data requirements.
- Maintain Documentation and Compliance:
- Document all data integration processes, workflows, and technical & system specifications.
- Ensure compliance with data governance policies, industry standards, and regulatory requirements.
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