- At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value.
- We partner with companies from around the globe, leaders in their respective fields.
- With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world.
- We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value.
- Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.
Fractal Recruitment Drive 2025 | Fractal Hiring Software Engineer
www.djobbuzz.com
03 Sep 2025
- Company Name
- Fractal
- Company Website
- http://fractal.com/
- Job Role
- Data Engineer
- Job Type
-
- Fresher
- Experienced
- Job Location
-
- Bengaluru/Bangalore
- Pune
- Mumbai
- Chennai
- Gurgaon
- Skills
-
- SQL
- Scala
- Java
- Python
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 02 Nov 2025
About Company
Job Overview
- Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks.
Eligibility Criteria
- Bachelor's degree in Computer Science, CIS, or related field
- Experience on project(s) involving the implementation of software development life cycles (SDLC) GCP DATA ENGINEER
Job Description
- Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, Presto, Druid, airflow
- Deep understanding of BigQuery architecture, best practices, and performance optimization.
- Proficiency in LookML for building data models and metrics.
- Experience with DataProc for running Hadoop/ Spark jobs on GCP.
- Knowledge of configuring and optimizing DataProc clusters.
- Offer system support as part of a support rotation with other team members.
- Operationalize open source data-analytic tools for enterprise use.
- Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.
- Understand and follow the company development lifecycle to develop, deploy and deliver the solutions.
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