Walk-in || Data Engineer

Job Description

SNRequired InformationDetails

1RoleAWS data Engineer2Required Technical Skill SetAWS , Python , Sql , Pyspark

3No of Requirements64Desired Experience Range5+ years5Location of Requirement Gurgaon6IOU-DetailBFSI ANZ 1.3
Desired Competencies (Technical/Behavioral Competency)Must-Have

• Actively engage in the development, testing, deployment, operation, monitoring and refinement of data services
• Manage incidents/problems, apply fixes and resolve systematic issues; triage issues with stakeholders and identify and implement solutions to restore productivity
• Experience with design build and implementation experience on Data Engineering pipelines using SQL, Python , Databricks (or Snowflake)
• Experience with data solutions in Cloud (preferably with AWS) as well as on-premises assets like Oracle
• Experience of Pyspark is Desirable.
• Good experience with Strored Procs.

Good-to-Have

• BFSI Experience

SNResponsibility of / Expectations from the Role 1Deliver ETL data pipelines for business requirements2Orchestrate data pipelines to ensure timely delivery of datasets3Translate business to technical requirements
TypeDetails of The Role (For Candidate Briefing)Reporting To Which RoleProject LeadSize of the Team, if any Reporting to this RoleNAOn-site OpportunityNAUnique Selling Proposition (USP) of The RoleLargest Leading BANK in AustraliaDetails of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.Largest Leading BANK in Australia


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