Azure Data Engineer/Manager-Python/Scala|Gurgaon|3+Years
HuQuo
India, G...
3 - 8 Yrs
Job Closed
Job Description
Azure Data Engineer, will be responsible for expanding and optimizing's data and pipeline architectures, and for optimizing's data collection and flow across functional teams.
Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects.
Job Responsibilities
Ensure data is cleansed, mapped, transformed, and optimized for storage and use
Develop and maintain innovative Azure solutions
Design solutions using Microsoft Azure services and other tools
Automate tasks and deploy production-standard code with unit testing, continuous integration, versioning, etc.
Load transformed data into various storage and reporting structures
Build data pipelines to consolidate data
Extract data, troubleshoot, and maintain data warehouse
Tech Stack
Python
SQL and NoSQL databases
Scala
Spark-SQL
Experience with Azure services: ADLS, Databricks, Stream Analytics, SQL DW, Cosmos DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
Location
Gurgaon, Haryana, India
About Company
HuQuo (derived from Human Quotient) is the next stage in the evolution of HR. In an industry thirsty for innovation, HuQuo is a fresh perspective towards people and organizations. At HuQuo,we do not look at human beings as mere resources, but as an ocean of untapped potential. Human Quotient goes beyond IQ and EQ. It’s the holistic representation of all human potential. We strategically manage this Human quotient. We believe that every organization has a human like individuality which can help nurture and flourish those individuals that resonate with it. Our endeavor is to bring such high resonance individuals and organizations together. We will achieve this through extensive use of analytics and deep immersion to understand the core of the organizations and people we work with.