About Company: If you like working with a curious, supportive, high-performing team, Fractal is the place for you.
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
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Job Classification
Industry: Management Consulting Functional Area / Department: Engineering - Software & QA, Role Category: Software Development Role: Data Platform Engineer Employement Type: Full time