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5 hours ago
As a senior data engineer, you will be responsible for designing and developing scalable and efficient data pipelines using AWS services. You will work closely with the development team to integrate data integration frameworks and enhance existing spark jobs.
Key responsibilities include studying existing technology landscapes, optimizing spark job performance through stress testing and tuning, creating new data pipelines using AWS Lambda or Apache Airflow, and analyzing data processing, integration, modeling, and reporting requirements.
Required Skills and Qualifications:- Bachelor's degree in computer science, engineering, or related field (Master's degree a plus)
- Minimum 5 years of experience on cloud-related projects
- Associate Level and Professional Level AWS Certification (desired)
Desirable skills include expertise in developing ETL workflows with complex transformations, strong SQL skills, knowledge of orchestration tools such as Apache Airflow, and proficiency in programming languages including Scala, Python, Shell Scripts, PySpark.
Benefits:- Self-motivated and focused on delivering outcomes for a fast-growing team and firm
- Effective communication skills through speaking, writing, and client presentations
Preferred qualities include technical expertise, ability to research and dive deep into technical fields, and strong technical knowledge and experience.
Key Requirements:- 7-9 years of IT experience
- 5+ years of AWS-related projects
- Strong technical knowledge and experience
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