Wolters Kluwer - Medknow Publications
Location
Pune | India
Job description
Manage and lead a team of enterprise data lake contributors consisting of data engineers and developers.
Hire and build the best engineering team, define the vision of the team.
Own end-to-end data lake solution from analysis to implementation.
Oversee the design and development of enterprise level datalake solutions.
Review existing business process and and drive to adhere industry standard and best practices.
Mentor and foster growth within the team and.
Drive excellence in engineering and operations agility.
Deliver data lake releases and partner with product owners, key stakeholders, report and application teams.
Lead the data engineering automation, governance and roadmap.
MINIMUM QUALIFICATIONS
Expert in designing and implementing of enterprise level data solutions within cloud environment (preferably in Azure).
Expert in analysing, designing of relational and data warehouse solutions.
12-14 years of rigorous software development experience.
5+ years of engineering and resource management experience.
Proficient in data engineering with Azure Data Factory and Azure Databricks.
Proficient with Power BI, Azure Analytics Services
Experience with working with business stakeholders, requirements & use case analysis.
Strong communication and collaboration skills with creative problem-solving skills.
PREFERRED QUALIFICATIONS
Bachelors degree in Computer Science or equivalent work experience.
Experience with Agile/Scrum methodology.
Azure Data Engineer certification a plus.
Experience with tax and accounting domain a plus.
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