Required Skills

big data Operations SQL Python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 23rd Nov 2022


  • Design and develop business-critical backend systems using stream processors and high-quality data pipelines.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
  • Build a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond.
  • Build data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Ability to automate data pipelines using DevOps tools
  • Perform root cause analysis on external and internal processes and data to identify opportunities for improvement
  • Build processes that support data transformation, workload management, data structures, dependency, and metadata
  • Adopt for change, always open to replacing what you built yesterday with something better today.
  • Work with all stakeholders to design and code large scale batch and real-time data pipelines on the Azure.
  • Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability



  • A bachelors degree in computer science or equivalent
  • 5 years of experience in a Data Engineer,
  • Experience with Azure big data tools: Azure Databricks, Azure Synapse, HDInsight, ADLS
  • Experience with relational SQL and NoSQL databases.
  • Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools
  • Experience with data pipeline and workflow management tools: ADF and Logic Apps
  • Experience with Azure cloud services: VM, Azure Databricks, Azure SQL DB, Azure Synapse
  • Experience with stream-processing systems: Azure Streams
  • Experience with scripting languages Python.

Company Information