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Pitney Bowes - Pune/Noida, India - Pitney Bowes India Pvt ltd
Description
Impact:
The job of a Senior Advisory Data Engineer is to lead a portion of the Data Infrastructure team located in India. This position will collaborate and coordinate with global and cross-functional stakeholders across Pitney Bowes organization and external partners. In addition, the position will drive continuous improvement of our processes and modernize our technologies. You will be an integral part of our talented team, supporting our continued growth, staging data that is the foundation of critical analytics and data science initiatives.
A day in the life:
Work together with the teams of Pitney Bowes data landscape, including and not limited to the Data Strategy and Governance team, Engineering, Enterprise Information Management, Sales Operations, Marketing and Strategy.
Effectively communicate concepts with authority and conviction.
Increase efficiencies across data processes within the team.
Develop a deep understanding and fine-tune extensive experience in accessing internal databases and navigating our complex data infrastructure.
Stay abreast of latest industry topics, trends, news, methodologies, and tools.
You will keep a constant eye out for potential improvements in analytics processes, data quality and data minimal guidance:
Business accumen (with a similar organization as PB)
Proven ability to communicate with nontechnical and technical people.
Experience on scoping and gathering business and data as a product requirements.
Experience and ability to work with Agile, DevOps and DataOps
Drive to control costs and desire to identify revenue opportunities through data.
Process driven
Proof of continuously learning
Extensive Project Management experience.
Ability to use the data for business Bachelors degree required in Information Technology, Computer Science, and/or Business Intelligence.
8-10 years of experience in a related field
Working knowledge of the business or domain area
Must have:
Data mesh understanding and experience.
Should be able to design and develop data architecture.
Experience with data warehouses (Snowflake, Data Bricks, Red shift, EMR, etc).
Experience on ETL tool (like Snaplogic, Informatica, Talend, EMR etc).
Experience in SQL development.
Experience on AWS.
Good to have:
Able to lead and adapt to changing priorities.
Highly collaborative, flexible, and communicative
Strong organizational skills
Comfortable presenting recommendations to colleagues and stakeholders
The Team:
Pitney Bowes (NYSE: PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels.
For additional information visit Pitney Bowes at Talent Matters at Pitney Bowes
Pitney Bowes is an equal opportunity workplace. To remove unconscious biases from our hiring process, we encourage Blind Applications from candidates applying for jobs at Pitney Bowes. This means that details such as gender, caste, religion, nationality, and age are omitted from applications. And candidates can choose to reveal only their first or last name on the application.
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