Required Skills

Business objects SAP Healthcare Data processing Informatica microsoft Business intelligence SSIS Information technology SQL

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 :- 31st May 2022

JOB DETAIL

Your typical day at work will be filled with the following activities:

  • Build complex data pipelines in Microsoft Azure
  • Optimize existing data pipelines
  • Support in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources to Azure
  • Work closely with data analysts and data scientists to provide required data structures and enable new insights i
  • Keep the data secure across the end-to-end solutions
  • Evaluate and improve existing data analytics solutions
  • Develop your competences, learn new tools and ways of working

This is you:

  • We are looking for experienced data engineer with 4+ years of experience and relevant education background.
  • You are familiar with Azure Data Analytics, Spark, Databricks.
  • You have strong ETL skills and experience with data processing tools, such as Informatica PC/IICS, PySpark.
  • You have significant experience in processing data in scription languages (Python)
  • Databases (like SQL server or Netezza) don t have any secret for you.
  • You are comfortable working in a diverse, complex, and fast-changing landscape of data sources.
  • You communicate fluently in English.
  • You are proactive problem solver with innovative thinking and a strong team player.

Extras good to have:

  • Knowledge of other services and tools used to ETL workflows
  • Experience with business intelligence platforms, such as Microsoft SSIS/SSAS/SSRS, Trradata, IBM Netezza
  • Familiarity with Microsoft Power BI or other data visualization tools such as Qlik, SAP Business Objects
  • Familiarity with database management systems, online analytical processing (OLAP)
  • Experience in AGILE project methodology and practice

 

Company Information