Senior Data Engineer - Pune, India - Procore Technologies

Description

Job DescriptionWe are looking for a highly skilled and experienced

Senior Data Engineer

to join our team and help us build and maintain an advanced data platform designed to facilitate data-driven decision-making in the construction industry.

The

Senior Data 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 full-time position and will report to our Senior Manager of Software Engineering and will be based in the India office, but employees can choose to work remotely.

We are looking for someone to join our team immediately.


What you'll 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 Procore's technical vision of a service-oriented 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.
Work in building applications using LLMs and GAIs.
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 Procore's 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 we're looking for:

Bachelor's degree in Computer Science, Engineering, or a related field5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design PrinciplesExpertise in building data pipelines (in Real-time Streaming Processing and batch) on large complex datasets using Spark or Flink frameworksExperience 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 practicesExperience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, Neo4j, and SparkExperience with running services on Kubernetes and familiarity with Helm charts and TerraformExperience in cloud environments like AWS, GCP, or Azure

Additional InformationPerks & BenefitsAt 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 UsProcore Technologies is building the software that builds the world.

We provide cloud-based 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 equal-opportunity employer and welcome builders of all backgrounds. We thrive in a diverse, dynamic, and inclusive environment.

We do not tolerate discrimination against employees on the basis of age, color, disability, gender, gender identity or expression, marital status, national origin, political affiliation, race, religion, sexual orientation, veteran status, or any other classification protected by law.

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