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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Position Overview: As a Senior AWS data Engineer you will play a critical role in shaping and delivering our data infrastructure and solutions on the AWS platform. You will collaborate with cross-functional teams to design scalable data architectures, develop efficient pipelines, and implement governance and security best practices.
Responsibilities:
* Design and implement scalable, secure, and cost-effective AWS-based data architectures, leveraging services such as S3, EMR, Glue, Lambda, Athena, DynamoDB, and Step Functions.
* Define best practices for data modeling, schema design, and optimization for performance and scalability.
* data Pipeline Development, Build, optimize, and maintain ETL /ELT pipelines using tools like Glue, Spark (on EMR), and Lambda, Ensure pipelines can handle high volumes of structured, semi-structured, and unstructured data efficiently.
* data Governance and Quality: Implement data governance practices, including data cataloging, lineage tracking, and quality monitoring. Establish data security standards using IAM, KMS, and other AWS security tools.
* Collaboration and Leadership: Work closely with product managers, data analysts, and software engineers to understand requirements and deliver end-to-end data solutions. Provide technical mentorship and contribute to team knowledge sharing.
* Operational Excellence: Monitor and troubleshoot data pipelines and infrastructure, ensuring high availability and reliability. Optimize costs and performance of AWS services.
Office Location:
Petah Tikva
* Minimum of 10 years in designing and developing data solutions, with significant experience on the AWS platform.
* Proficiency in AWS data services (e.g., S3, Glue, Redshift, Athena, DynamoDB, EMR, Lambda).
* Strong experience with Big Data frameworks (e.g., Apache Spark, Hadoop) and querying tools (e.g., SQL, Athena, Presto).
* Expertise in programming languages such as Python, Typescript, Scala, or JAVA.
* Hands-on experience with orchestration tools like Step Functions, Apache Airflow, or others.
* data Governance: Knowledge of schema registries, data cataloging, lineage tools, and monitoring best practices.
Soft Skills:
* Strong problem-solving and analytical skills.
* Excellent communication and collaboration abilities.
* Ability to mentor and guide junior developers.
* Preferred Qualifications:
* AWS Certifications such as AWS Certified data Analytics Specialty, AWS Certified Solutions Architect Professional.
* Experience with DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., CloudFormation, Terraform).
* Familiarity with third-party data tools and platforms like Databricks, Snowflake, or similar.
* Experience in implementing data democratization or self-service analytics solutions.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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