Azure Data Engineer + data warehouse

4 - 9 years

25 - 30 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Position: Azure Data Engineer + data warehouse

  • Analyst Programmer L2
  • Senior Analyst Programmer
  • Tech Lead

Location:

  • SSIS/SQL (hands on), ADF, Azure Data bricks, PySpark, DWH (Schemas, fact/Dimension), ADLS (optional)

Responsibilities:

  • Provide data architecture solution design and architectural leadership
  • Experience managing and delivering ETL solutions in a large enterprise environment
  • Examine and identify database structural necessities by evaluating client operations, applications, and programming.
  • Analyse existing database implementation procedures to ensure they comply with internal and external regulations.
  • Prepare accurate database design and architecture reports for management and executive teams whenever required
  • Recommend solutions to improve new and existing database systems.
  • Experience in Building and supporting architecture ofEnterprise-wideWarehouses.
  • Good Exposure ofETL (SSIS), Reporting Tools (SSRSorPowerBI) and Data Modelling.
  • Understand Requirements from Technical Standpoint, Assess Feasibility, Design and Build Solution Architecture, Assess Solutions and work as Tollgate for Technical Delivery, Participate on New BI Initiatives.
  • Delivering projects on time with quality.
  • Participate in technical forums and discussion within the team and with clients.
  • Implement advance strategies for gathering, reviewing, andanalysingdata requirements.
  • Strong exposure to requirements gathering in Insurance, P&C or reinsurance domain with primarily US Clients.
  • Participate in requirements analysis with Business users and Onsite/Offshore-BAs.
  • Create/Maintain requirement artifactsi.e.requirement templates/sheets based on the discussion with BA or Business-User.
  • Insurance business knowledge is mandatory.Experience specific toDuckcreekwould be desired.
  • Strong Customer facing experience, negotiation skills andwrittenand verbal communication
  • Strong aptitude and Problem & Observation skills, attention to details and Self Learning ability is must.


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