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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.
About Company:
Fractal is a leading AI & analytics organization. We have a strong GCP Team with great leaders accelerating the growth.Our people enjoy a collaborative work environment, exceptional training, and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4/5 and achieve customer NPS of 9/10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you.
JOB DESCRIPTION:
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
- Developing Data Pipelines (Batch/Streaming)
- Developing Complex data transformations
- ETL Orchestration
- Data Migration
- Develop and Maintain Datawarehouse / Data Lakes
- Team handling, problem solving, project management and communication skills & creative thinking
QUALIFICATIONS:
REQUIRED QUALIFICATIONS:
- 6 to 12 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions
- 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 Modelling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture
- 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
PREFERRED QUALIFICATIONS:
- Experience in working with Apache Spark / Kafka
- Machine Learning concepts
- Google Cloud Professional Data Engineer Certification
EDUCATION:
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
Working Days : Sunday to Thursday
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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