Lead Data Engineer
Role: Data Engineer
Location: Philadelphia, PA
Job Type: Contract
Look for only independent visa for Data Engineer
Must have skills : Apache Spark (Capable), Azure Relational Databases, e-Governance
Job Description : Role requirements
•Be an advisor to customer and help strategize the Enterprise Data roadmap by identifying the gaps in current setup and way forward
•Work with business and technical stakeholders at customer end to identify the use case and technical challenges.
•Understand current landscape, processes and implementations
•Work with Nagarro COE to implementation of ideas
•Plan continuous engagement with Customer Enterprise Architecture team
•Regularly review and update the data roadmap to align with evolving business needs and technological advancements.
Skillset Required
•Have expertise in –
. Proven analytical skills Problem-solving attitude A minimum of 10 years of experience in data management and analytics, with at least 5 years in a leadership role.
•Relevant experience in creating and executing enterprise data strategy.
•Transforming business goals into data infrastructure
•Experienced in Data governance, Data modeling, Data security, Data strategy, Data integration. MDM
•Experienced in Industrial IoT and relevant Data Science use cases.
•Aware of various tools and frameworks related to Data Analytics, Data modeling, Data virtualization.
•Drive rapid prototyping and design for new projects and analytic R&D environments
•Should have knowledge in Manufacturing domain and good to have lighting or similar domain or IOT related use case knowledge
•Proven analytical skills Problem-solving attitude A minimum of 10 years of experience in data management and analytics, with at least 5 years in a leadership role.
Job Type: Contract
Benefits:
401(k)
Dental insurance
Health insurance
Schedule:
8 hour shift
Monday to Friday
Experience:
Apache Spark: 5 years (Required)
Azure Relational Databases: 5 years (Required)
Environmental governance: 1 year (Required)
Leadership: 5 years (Preferred)
Work Location: On the road