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Spark Kafka Hive Scripting Scala Python Kanban BI Architecture Data Warehousing Con
 
Requirement id 101087
Job title Engineer
Job location in Erlanger, KY
Skills required Designing And Implementing, Cloud Based Data Integration Tool, Spark, Kafka Hive Scripting Scala Python Kanban
Open Date 10-Dec-2019
Close Date
Job type Contract to Hire
Duration 11 Months
Compensation DOE
Status requirement not found
Job interview type Face to Face interview
   Email Recruiter: coolsoft
Job Description Engineer: Designing And Implementing, Cloud Based Data Integration Tool, Spark, Kafka Hive Scripting Scala Python Kanban

Note:
* We should submit only GC,GC - EAD, L2-EAD,H4-EAD and Citizens

* Candidates RTR form should be only on the name of APEX Systems

Client Info : ADM/WILD Flavors and Specialty Ingredients

Description:

Position Summary:

The Senior Data Engineer will work on designing, creating, and implementing data foundations to support strategic advanced analytics projects that drive strategic growth (go-to-market strategies, pricing intelligence, economic and trade data modeling, and many others). This involves liaising with business teams that create or acquire the underlying data, application owners to understand raw or source data structures, and data scientists and end users to properly architect strategic data marts. Finally, architecting and building the data pipelines, constructing and modifying data marts, preparing (cleaning, transforming) data, and collaborating with digital and analytics team members to design impactful business solutions. The Senior Data Engineer should be able to coach and lead other junior team members as well as drive critical solutions independently.

Additional Responsibilities:

Developing prototypes and proof of concepts for the selected solutions
Determining the right tool for the job (Python, Azure/AWS tools, Power BI, Tableau, JMP Pro etc.)
Understanding and navigating a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.)
Mapping data ecosystems and creating data model diagrams
Extending traditional ETL solutions (Informatica, Alteryx, SQL, etc.)
Establishing and maintaining information security standards
Creating custom queries, scripts, and job runs for ad hoc data processing and/or data investigation
Analyzing data and developing insights (e.g., via data visualization tools like Excel/Power BI/Tableau or statistics packages like SAS/SPSS/R)

Essential job functions:

Work simultaneously on multiple projects without sacrificing delivery
Work with data warehouse and data integration teams to ensure successful delivery of enterprise data warehouse solutions
Have natural curiosity and real passion for data investigation, talent for strategic leadership, interest in digital product development, and experience in people management.
Lead development of strategy in an environment rich in complex biological, environmental, operational, global economic, and business data.
Establish and manage collaborations engaging business units to develop novel data analytic approaches and integrated decision science solutions.
Prepare and present ideas and recommendations to colleagues and management
Document solutions through high/low level design documentation
Learn new cutting edge data engineering and analytic tools as needed

Job Requirements:

5+ years of hands-on experience designing and implementing solutions
Experience delivering Cloud based Data Solutions in Azure
Experience working with Big Data technologies (Spark, Kafka, DataBricks, Hive, or equivalent)
Extensive knowledge in programming or scripting languages like Java, Scala, Python and/or R.
Experience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOps, etc.
Working knowledge of BI architecture, data warehousing concepts, and data integration standard methodologies
Deep understanding and experience of ODI and Oracle BI Enterprise Edition with solid grasp in related ERP data model and data architectures (JD Edwards preferred)
Experience with metadata management discipline and practices
High accountability with a demonstrated ability t
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 101087 while calling.
 
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(Engineer: Designing And Implementing, Cloud Based Data Integration Tool, Spark, Kafka Hive Scripting Scala Python Kanban in Erlanger, KY)
     
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