Senior Data Engineer- GCP

Department Icon Data Science Analytics & Machine Learning
Posted: 3 years ago
3-8 years
Bengaluru, Karnataka, India
Data Science Analytics & Machine Learning
Work From Office
Full Time

Posted: 3 years ago
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Job Description

Its fun to work in a company where people truly BELIEVE in what they are doing!Were committed to bringing passion and customer focus to the business.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
QualificationsREQUIRED QUALIFICATIONS:
  • 3 to 8 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
EducationB.E/B.Tech/M.Tech in Computer Science or related technical degree OR EquivalentIf you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills

AnalyticsBusiness DevelopmentData MigrationDesigningEtlEtl ToolMachine LearningProblem SolvingProject ManagementPythonResearchSqlTeam Handling

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About Company

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 uses the power of AI to help the world’s most admired Fortune 500 companies. Fractal’s products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai 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.

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