Sr. Data Engineering Lead

Sr. Data Engineering Lead


Sr. Data Engineering Lead

Details of the offer

URGENT NEED - Senior Data Engineering Lead in Parsippany, NJ!!!
Client: Multinational CPG Company
Duration: 12 months + contract with high visibility of conversion into fulltime employee
Location: Parsippany, NJ 07054
PS: Due to COVID19 hired candidate will be allowed to work remotely until the health crisis is over.
We're looking for a dynamic self-driven Sr. Data Engineering Lead to implement end to end data strategy. Excellent opportunity to play varied dynamic roles, shape analytic strategy and grow in a challenging, innovative environment.
* Architect, develop, and deploy infrastructure for large scale ETL pipelines with data processing frameworks
* Productionizing machine learning - from research into fault-tolerant, production-scale deployments
* Manage data workflows
* Work closely with the Data Science, Analytics, Product and Platform teams to understand business needs and create a data platform that serves business needs
* Tech Lead projects and mentor team members
* Work with the Cloud Architect and Cloud Business Services unit to implement the Analytics Platform as a hybrid cloud solution using Azure.
* Work with Big Data distributed systems, Apache Cassandra, Apache Spark, Apache Solr Apache Hadoop, clustering, and replication technologies including Business Continuity Management (BCM) and High Availability
* Use machine learning APIs and computational packages such as TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark ML.
* Define and drives product requirements and creates high-level architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms.
* Lead large data and analytics implementation for complex customer engagements
* Lead and mentor a team of analytics professionals to deliver customer success requirements
* Potential growth into Management
Required Skills & Experience:
* Must have Data Analytics, Advanced Analytics, Data Science Experience
* Experience in Data / Information management practices and implementation experience
* Data warehousing and business intelligence project lead experience
* Must have experience with Azure stack (data factory, data lakes, data bricks, AAS, Azure DW)
* Proficiency in data warehousing concepts, dimensional data modeling, SQL, data processing, integration, query performance tuning etc.
* Expert with one or more business intelligence / reporting / dash-boarding tool like Tableau, Qlik, Power BI, Oracle BI etc
* Experience using machine learning APIs and computational packages.
* Strong hands-on experience with Cassandra, CQL, data modeling, data replication, clustering.

Experis is an Equal Opportunity Employer (EOE/AA)


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