We are seeking an Associate Director of Data Engineering for a permanent position with our client in Yonkers, NY. The right candidate must be an expert Data Architect. They client will consider candidates who are willing to relocate to this area. Please review job details and send qualified resumes to email@example.com.
The Associate Director of
Data Engineering leads the team for the development of data
architectures and data management systems. This role leads the team of data
engineers and architects that support data management
strategy. Responsibilities for this position include working closely with the
business team, project management, QA and other engineering teams to ensure the
successful execution of new projects while also sustaining and improving
implements the data engineering strategy, ensuring it aligns with overall
strategic plan and the technology roadmap.
involved in the design, implementation, operations and support of various
databases, data warehouses, data lakes, content repositories, and other data
management systems & applications.
activities of data architects, data engineers and DBAs in the areas of task
scheduling, technical data architecture, design, development and implementation
of data management best practices.
development efforts relating to databases, content repositories and data feeds
including data transformations, cleansing and mapping; hands-on participation
in development when needed.
Uses a variety
of commercial and open source technologies to provide application functionality
to internal customers, including data entry and integration.
streamline development by contributing to the implementation of a continual
integration process, automating manual processes, and stamp out defects.
with business leaders and other IT groups to prioritize projects and maximize
the effectiveness of data engineering technologies in supporting business
strategy and operations.
requests from the businesses working with IT project managers to ensure project
objectives are met according to schedule.
knowledge of open source and emerging data engineering technology trends to
evaluate business and technical opportunities in the adoption of new
May work on
multiple, complex projects in a lead or subject matter expert role.
hiring, development and evaluation of applications development staff; coaches
and mentors staff.
in Computer Science or a related field with 7-10 years of relevant professional
leading activities to support data management systems, data architecture and
building large scale data warehouses and data lakes (i.e. Snowflake)
Expert in Data
Modeling (Relational, Dimensional etc).
developing ETL processes and complex data migration strategies.
Expert in one
or more programming languages for data analysis (Python,SQL, R, Unix Shell
Scripting) and using modern data analytic techniques.
working in an agile development environment with excellent communication and
Experience with Cloud Technologies (i.e. AWS)
with Business Process Management suites (i.e. Appian)
with different relational and no-sql databases (i.e. Oracle, Mongo, Redshift
with Data Visualization Tools/Libraries - Tableau, D3 etc.
with one or more distributed version control systems and hosting services -
Mercurial, GIT, GitHub, Stash etc.
with Content Management Systems (CMS) and Digital Asset Management (DAM)
experience working in projects involving Data Science, Machine Learning,
complex Data Analytics is a plus.