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Procore Off Campus Drive 2025 hiring Data Engineer

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Procore Off Campus Drive 2025 Hiring Data Engineer for BE/BTech Candidates Can Apply online from below details. Candidates who are interested in Procore Off Campus Drive Job Openings can go through the below to get more information.

Procore hiring Data Engineer

Company: Procore
Qualifications: BE/BTech
Experience Needed: 2+ Years
Job Req ID: R0015428
Location: Bangalore

Description for Data Engineer
We’re looking for a Data Engineer II to join Procore’s Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
Data engineers are responsible for implementing critical projects including the design and operation of Procore’s streaming and batching data processing pipelines and creating domain benchmarks and insights etc.

We’re looking for a motivated engineer with at least 2 years of experience. You must be comfortable operating in a high autonomy environment and deploying technologies that are new to our organization. drive solutions to wide-ranging data engineering and infrastructure challenges for product and internal operations. You will partner with world-class developers, engineers, architects, and data scientists to drive thinking, provide technical leadership, and collaborate in defining best practices around data engineering. You will also work alongside local product management, engineering, and research teams to develop innovative solutions that will influence our product line.

Examples of our projects:
An ETL pipeline for our data lake consisting of batch processing, orchestration with Airflow, monitoring with Datadog and alerting with Slack
A Maven package used by all of Product Dev teams for building Kafka consumers with built in support for configuration, error reporting, monitoring, deserialization, gRPC, Spark, Flink, and Kubernetes
A multi-stage data lake including landing, process and serving zone

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Some of your responsibilities include
Partner with teams on modeling and analysis problems – from transforming problem statements into analysis problems, to working through data modeling and engineering, to analysis and communication of results
Conduct code reviews, design, and best practices
Use experience gained in the above and expertise in this space to influence our product roadmap, potentially working with prototype engineering team to add additional capabilities to our products to solve more of these problems

Who You Are…
2+ years of experience in a Data/ML Engineer role
Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field or equivalent relevant experience.
Expertise building data pipelines (in Real-time and batch) on large complex datasets using Spark or Flink frameworks
Experience with AWS services including EC2, S3, Glue, EMR, RDS, Snowflake, Elastic Search, Cassandra and Data pipeline/streaming tools (Airflow, NiFi, Kafka)
Experience building and optimizing data pipelines, architectures and data sets. A successful history of manipulating, processing and extracting value from large disconnected datasets.
Deep knowledge of stream processing using Kafka and highly scalable ‘big data’ data stores.
Team Player. Experience supporting and working with cross-functional teams in a dynamic environment.
Experience of End-to-end data quality control and automated testing experience

Preferred
Experience with unstructured data (PDF, contract, plan, image)
Data transformation (quality, extraction)
Experience in working within team handling all the data pipeline from extraction to Data warehouse

Apply to Procore hiring Data Engineer

How to Apply Procore Off Campus Drive 2025

Click on Apply to Official Link Procore Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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