ociate Engagement Lead

2 months ago


Pune, India ProcDNA ytics Pvt Ltd Full time
RoleSummaryYoull build andmaintain systems for efficient data collection storage andprocessing to ensure data pipelines are robust and scalable forseamless integration and analysis. We are seeking an individual whonot only possesses the requisite expertise but also thrives in thedynamic landscape of a fastpaced globalfirm.
Whatyou ll do
  • Design/implement complex andscalable enterprise data processing and BI reportingsolutions.
  • Design build and optimize ETLpipelines or underlying code to enhance data warehousesystems
  • Work towards optimizing the overallcosts incurred due to system infrastructure operations changemanagement etc.
  • Deliver endtoend data solutionsacross multiple infrastructures andapplications
  • Coach mentor and manage a team ofjunior associates to help them(plan tasks effectively andmore)
  • Demonstrate overall client stakeholderand project management skills (drive client meetings creatingrealistic project timelines planning and managing individual andteams task)
  • Assist senior leadership inbusiness development proposals focused on technology by providingSMEsupport

MustHave:
  • 3 5 years ofexperience in designing/building data warehouses and BI reportingwith a B.Tech/B.E background
  • Prior experienceof managing client stakeholders and junior teammembers.
  • A background in managing Life Scienceclients is mandatory
  • Proficient in big dataprocessing and cloud technologies like AWS Azure Databricks PySparkHadoop etc. Along with proficiency in Informatica is aplus.
  • Extensive handson experience in workingwith cloud data warehouses like Redshift Azure Snowflake etc. AndProficiency in SQL Data modelling designing ETL pipelines is amust.
  • Intermediate to expert level proficiencyin Python Proficiency in either Tableau PowerBI Qlik is amust.
  • Should have worked on large datasets andcomplex data modelling projects.
  • Domainknowledge of the pharma landscape is a musthave.

bi reporting,datacollection,python,databricks,powerbi,tableau,azure,sql,redshift,designing/buildingdata warehouses,pharma landscape,hadoop,dataprocessing,aws/azure,pyspark,aws,informatica,cloudtechnologies,qlik,data pipelines,data modelling,enterprise dataprocessing,data storage,snowflake,etlpipelines,visualization


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