Padmi

Manager / Data Engineer / Data Architect

IndiaPosted 2 months ago
Infrastructure And DatabasesSeniorFull Time; Regular
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We are looking for a highly skilled and experienced Manager / Data Engineer - Data Architect to join our team at Benovymed Healthcare Private Limited. The ideal candidate will have a strong background in data architecture and engineering, with excellent leadership skills. Roles and ResponsibilityDesign and implement data architectures that meet business requirements.Develop and maintain large-scale data systems and pipelines.Collaborate with cross-functional teams to identify and prioritize project requirements.Lead the development of data models and data warehousing solutions.Ensure data quality and integrity through data validation and testing procedures.Provide technical guidance and support to junior team members.Job RequirementsStrong knowledge of data architecture and engineering principles.Experience with data modeling, data warehousing, and ETL processes.Excellent leadership and communication skills.Ability to work in a fast-paced environment and meet deadlines.Strong problem-solving and analytical skills.Experience with data management tools and technologies. We are looking for a highly skilled and experienced Manager / Data Engineer - Data Architect to join our team at Benovymed Healthcare Private Limited. The ideal candidate will have a strong background in data architecture and engineering, with excellent leadership skills. Roles and ResponsibilityDesign and implement data architectures that meet business requirements.Develop and maintain large-scale data systems and pipelines.Collaborate with cross-functional teams to identify and prioritize project requirements.Lead the development of data models and data warehousing solutions.Ensure data quality and integrity through data validation and testing procedures.Provide technical guidance and support to junior team members.Job RequirementsStrong knowledge of data architecture and engineering principles.Experience with data modeling, data warehousing, and ETL processes.Excellent leadership and communication skills.Ability to work in a fast-paced environment and meet deadlines.Strong problem-solving and analytical skills.Experience with data management tools and technologies.

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