Job details
Job type full-time
Full job description
Data engineer consultant ( senior data engineer ) - beyond i4.0 by implementation engineers
Data engineer consultant ( senior data engineer ) - beyond i4.0 by implementation engineers
Implementation engineers is seeking a client-facing senior data engineer to join its newly launched industry 4.0 practice, beyond i4.0, to be a hands-on builder of scalable technologies within the manufacturing, supply chain, and operational spaceIn this role, you will expand and optimize client data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who develops with an ux/ui mindset, knowing that end-user adoption of their tools is the most critical aspect of data engineeringIn this role, you will support data citizens, data consumers, and database architects on data initiatives and will ensure optimal data delivery architecture that provide highly accessible and accurate data to usersAs a valued team member in this role, you are self-directed, resourceful and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities
Build automated & self-service data products in microsoft power platform
Design, validate, publish and support business intelligence solutions based on business requirements and technical specifications (ssms, sql server, power apps, power flow, power bi)
Perform data etl manipulation and cleansing to create and prepare datasets for enterprise visualization using m language and other tools.
Collaborate with the bi team to design and implement schemas that efficiently and accurately render data
End-to-end ownership to develop, publish & schedule power bi desktop reports
Work with client it staff to configure all aspects of the power platform, including ms gateways, power bi subscription services service, rls, power bi connects
Gather and organize data in r, python and power query
Design snowflake and star-schema data models that facilitate the analysis of information
Assist with the design and development of cube metadata using best practices.
Technical qualifications
Bachelor`s degree in engineering, computer science, data science, finance/economics, applied mathematics, statistics or equivalent with a focus on practical deployment.
Database management tools:
Relational – e.gOracle, mysql, microsoft sql server, postgresql, or similar
Nosql – e.gMongodb, apache cassandra, couchbase, or similar
Cloud-based – e.gAws (redshift or dynamodb, azure (sql server or cosmos db), or similar
Automated etl tools:
Informatica, alteryx, talend, microsoft ssis, or similar
Python data manipulation/analysis - pandas, numpy
Intermediate proficiency with dax language on large, multi-table power bi datasets
Expert proficiency with the power bi service platform
5+ years of experience writing sql to solve complex information problems
5+ years of experience with data visualization and implementing high-value solutions
5+ years of experience working in a client-facing technical role
2+ years in developing bi reports, dashboards, and scorecard reports.
Additional qualifications
Six sigma and/or lean manufacturing proficiency preferred
Knowledge of erp systems and supply chain a plus
Strong business acumen and management skills
Strong client relationship and interpersonal skills
Strong written and oral communication skills
Must be a us citizen (candidates who are not current us citizens will not be considered for this role)
We welcome applications from candidates directly - no agencies please.
Additional details
Employment type: full-time – direct
Us citizenship required
50-75% of us travel required
We take our clients beyond data to optimize their business for industry 4.0
With the advent of industry 4.0 (i4.0), factories of the future will be driven by interconnected operations and automated actionsThis presents companies with unique opportunities as well as unique challenges when navigating this transformationWe implement operational and organizational improvements by moving beyond data into actionable strategies that drive near-term value and long-term competitiveness, helping our clients realize the full potential of technology by connecting i4.0 applications to the shop floor.
Learn more about our opportunities and read our case studies at www.implementation.com
Job type: full-time
Work location: multiple locations
