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Location - Open
Position: Data Engineer (GCP) – Technology
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Responsibilities:
- Be an integral part of large scale client business development and delivery engagements
- Develop the software and systems needed for end-to-end execution on large projects
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
- Build the knowledge base required to deliver increasingly complex technology projects
Qualifications & Experience:
A bachelor’s degree in Computer Science or related field with 5 to 10 years of technology experience
Desired Technical Skills:
- Data Engineering and Analytics on Google Cloud Platform:
- Basic Cloud Computing Concepts
- Bigquery, Google Cloud Storage, Cloud SQL,
- PubSub, Dataflow, Cloud Composer, GCP Data Transfer,
- gcloud CLI
- Python, Google Cloud Python SDK, SQL
- Experience in working with Any NoSQL/Columnar / MPP Database
- Experience in working with Any ETL Tool (Informatica/DataStage/Talend/Pentaho etc.)
- Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture
Other Desired Skills:
- Excellent communication and co-ordination skills
- Problem understanding, articulation and solutioning
- Quick learner & adaptable with regards to new technologies
- Ability to research & solve technical issues
Responsibilities:
- Developing Data Pipelines (Batch/Streaming)
- Developing Complex data transformations
- ETL Orchestration
- Data Migration
- Develop and Maintain Datawarehouse / Data Lakes
Good to have:
- Experience in working with Apache Spark / Kafka
- Machine Learning concepts
- Google Cloud Professional Data Engineer Certification
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- Bachelor's degree in Computer Science or related field
- 5 to 10 years of technology experience
- Experience with Data Engineering and Analytics on Google Cloud Platform
- Proficiency in Python, Google Cloud Python SDK, and SQL
- Experience with NoSQL/Columnar/MPP Database
- Experience with ETL Tools (e.g., Informatica, DataStage)
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
