Senior Software Engineer - Data

We are looking for a highly skilled and experienced Senior Software Engineer to join our team and help us build and maintain an advanced data platform designed to facilitate datadriven decisionmaking in the construction industry. The Senior Software Engineer integrates data from multiple sources including third parties to provide a unified and actionable view. The ideal candidate will have a strong understanding of software and data engineering principles and practices. You will be part of a highly performing team of Software and Data Engineers and will collaborate with other platform engineers and product leaders.

This is a fulltime position and will report to our Senior Manager of Software Engineering and will be based in the Cairo Egypt office.

What youll do:

• Create scalable data pipelines and microservices using a variety of technologies such as Java Flink Kafka and Airflow.
• Participate in designing and building systems that are aligned with Procores technical vision of a serviceoriented architecture.
• Work up and down the stack to ship code for our microservices and Flink jobs and dive deep into the database layer to handle complex querying needs.
• Implement and maintain algorithms and techniques to reduce data redundancy.
• Monitor analyze and optimize the performance of our data pipelines and platform.
• Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface in alignment with Procores technical vision.
• Mentor junior engineers within the team providing guidance and support.
• Work with other engineers and stakeholders to ensure the success of our platforms.
• Collaborate with Engineering Product and UX to design and build solutions that delight users and solve critical business problems.

What were looking for:

• Bachelors degree in Computer Science Engineering or a related field
• 5 years of experience in Object Oriented Programming fundamentals Test Driven Development and Design Principles
• Expertise in building data pipelines (in Realtime Streaming Processing and batch) on large complex datasets using Spark or Flink frameworks
• Experience building and optimizing data pipelines architectures and data sets. A successful history of manipulating processing and extracting value from large disconnected datasets. 
• Strong understanding of data engineering principles and practices
• Experience with a variety of data technologies including Apache Flink Apache Kafka GraphQL REST APIs DynamoDB Elastic Search MongoDB Neo4j and Spark
• Experience with running services on Kubernetes and familiarity with Helm charts and Terraform
• Experience in cloud environments like AWS GCP or Azure
• Experience with data deduplication algorithms and techniques
• Experience with deploying machine learning and statistical modeling
• Excellent problemsolving and analytical skills
• Strong communication and teamwork skills

Additional Information :

Perks & Benefits

At Procore we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs learn more details about what we offer and how we empower you to be your best.

About Us

Procore Technologies is building the software that builds the world. We provide cloudbased construction management software that helps clients more efficiently build skyscrapers hospitals retail centers airports housing complexes and more. At Procore we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.

We are an equalopportunity employer and welcome builders of all backgrounds. We thrive in a dynamic and inclusive environment. We do not tolerate discrimination against candidates or employees on the basis of gender sex national origin civil status family status sexual orientation religion age disability race traveler community status as a protected veteran or any other classification protected by law.

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