Senior Data Engineering Lead

• At least 7 years of experience in Information Technology
• At least 7 years of experience on Data Warehousing and ETL
• Must have at least 5 years of experience in Spark/Scala, Python and proficient in SQL and complex query handling
• At least 5 years of experience with Big Data processing
• Experience in framing high level and low-level design artefacts, validation of work deliverables
• Must have experience in leading support engagements too
• Candidate should be able to build and maintain work relationships with the client leadership team, 3rd party vendors and business partners
• Candidate should involve in effective communications with the offshore onshore delivery team and in conducting & moderating client meetings
• Should have the capacity to bring in additional business by working with client partners by participating in meetings related to business development, technical discussions and new initiatives
• Experience on Retail domain and must have worked on a global support delivery model in his previous assignments.
• Experience in anyCloud and Data warehousing experience, reporting background is nice to have.
• Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:
  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness

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