Software Data Engineer
22 days ago Herzliya, Israel
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Our software team is growing, and we are looking for a software data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premise and cloud environments.
Description
Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.","responsibilities":"Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti
Preferred Qualifications
Excellent problem-solving skills, analytical mindset, and attention to detail
Strong communication and collaboration skills
Minimum Qualifications
Bachelor's/Master's degree in Computer Science, Engineering or a related field
5+ years of proven experience as a Software/Backend/Data Engineer or similar role in a fast-paced environment
Strong proficiency in Python
Expertise in SQL and familiarity with other database systems
Hands-on experience with data visualization tools
Proficiency with monitoring and logging tools
Experience with data flow and CI/CD frameworks
Understanding of object storage solutions and best practices for binary data
Description
Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.","responsibilities":"Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti
Preferred Qualifications
Excellent problem-solving skills, analytical mindset, and attention to detail
Strong communication and collaboration skills
Minimum Qualifications
Bachelor's/Master's degree in Computer Science, Engineering or a related field
5+ years of proven experience as a Software/Backend/Data Engineer or similar role in a fast-paced environment
Strong proficiency in Python
Expertise in SQL and familiarity with other database systems
Hands-on experience with data visualization tools
Proficiency with monitoring and logging tools
Experience with data flow and CI/CD frameworks
Understanding of object storage solutions and best practices for binary data
Additional Information
- Posted: 22 days ago