Senior GCP Engineer
At a glance
Senior Cloud role at Fractal. Full-time.
Pay not stated Cloud salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build software and systems that support end-to-end execution of large data engineering projects
- Contribute to client business development and delivery work on large-scale engagements
- Apply software engineering practices throughout the development lifecycle to create scalable solutions
- Create and maintain batch or streaming pipelines, data transformations, ETL workflows, and data migrations
- Maintain data warehouses and data lakes while expanding the knowledge needed for complex projects
What you bring
- A bachelor's degree in computer science or a related discipline
- Five to ten years of experience in technology
- Hands-on data engineering skills with Google Cloud services, Python, and SQL
- Experience with a NoSQL, columnar, or MPP database, plus an ETL platform
Who this fits
This senior individual-contributor role suits someone who can turn complex business problems into scalable data solutions and communicate well with clients and colleagues. The position is based in Bangalore, Mumbai, Gurgaon, Chennai, or Pune, and seeks someone able to start immediately or within ninety days.
From the employer
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
GCP Engineer at Fractal.ai
Location - Bangalore ,Mumbai, Gurgaon ,Chennai, Pune
Position: Data Engineer (GCP) – Technology-Immediate to 90 days joiner
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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