Data Engineer ngineer

In a world where enterprises face unprecedented complexity and change, Fractal emerged as a pioneer in analytics and artificial intelligence.

What began as a vision to transform decision-making has evolved into a global force driving enterprise-wide AI transformation for Fortune 500 companies.

We understand that true enterprise transformation isn't just about technology—it's about creating sustainable competitive advantage through better decisions at every level of your organization. This understanding, combined with our deep expertise in AI, engineering, and design, enables us to deliver solutions that create billion-dollar impact for our clients.

1. Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks.
2. Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, Presto, Druid, airflow
3. Deep understanding of BigQuery architecture, best practices, and performance optimization.
4. Proficiency in LookML for building data models and metrics.
5. Experience with DataProc for running Hadoop/ Spark jobs on GCP.
6. Knowledge of configuring and optimizing DataProc clusters.
7. Offer system support as part of a support rotation with other team members.  
8. Operationalize open source data-analytic tools for enterprise use.  
9. Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.  
10. Understand and follow the company development lifecycle to develop, deploy and deliver the solutions.   

1.  Bachelor's degree in Computer Science, CIS, or related field
2. Experience on project(s) involving the implementation of software development life cycles (SDLC) GCP DATA ENGINEER