Amazon Data Engineer 

Israel, Haifa District, Haifa 

238506444

Annapurna Labs as part of AWS, is looking for Data Engineer to help us develop the semiconductor platform which is based on revolutionary architecture.As a Data Engineer at Amazon, you will be responsible for designing, developing, and optimizing our data pipelines and infrastructure. You will work closely with cross-functional teams to gather requirements, ensure data quality, and deliver high-quality data solutions. Your expertise in AWS technologies and data engineering will be crucial to our success.As a member of the System Software team, you’ll join the team in developing infrastructure for data collection, visualizing (dashboards, graphs), alarming and automatic actions. These SW tools are incorporated in all stages of the product development: From design, through validation, manufacturing, testing and monitoring - during production line, and in data centers. You’ll be working with different teams and stake holders across whole AWS.Key job responsibilities
- Design, develop, and maintain scalable data pipelines to support ongoing data acquisition and processing.- Implement data integration and transformation processes using AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda.
- Ensure data quality, integrity, and security through rigorous testing and validation.
- Optimize data storage and retrieval processes, to improve system performance and efficiency.
- Develop and manage ETL (Extract, Transform, Load) processes, to integrate data from multiple sources.
- Create and maintain technical documentation for data processes, systems, and workflows.
- Monitor and troubleshoot data pipeline issues, to ensure timely resolution and minimal disruption.
- Stay up-to-date with the latest industry trends and best practices in data engineering and AWS technologies.
- Mentor and guide junior data engineers, providing technical expertise and support.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Inclusive Team CultureMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance

- 8+ years of data engineering experience.
- Familiarity with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.
- Experience building data products incrementally and integrating and managing data sets from multiple sources.
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent.

- Experience with SQL.
- Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).
- Experience building world-class data environments, with high emphasis on data quality and data security.
- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.