Big Data Engineer
Forhyre Llc.
Rolling Meadows, IL, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Big Data
Unix
Cloud Computing
Data Integration
Extract Transform Load (ETL)
Data Warehousing
Python (Programming Language)
Unix Shell
Scala (Programming Language)
+5 more
SQL Databases
Apache Spark
Amazon Relational Database Service
Data Management
Functional Programming
Job description
Looking for an experienced Senior Big Data Developer who will be responsible for,
- Technical leadership in driving solutions and hands on contributions
- To build new cloud based ingestion, transformation and data movement applications
- To migrate / modernize legacy data platforms
- Contribute and Assist in translating the requirements to high level and low level solution designs and working program / code
- Interact with business/IT stakeholders, other involved teams to understand requirements, identify dependencies, suggest and convincingly present solutions any or all parties involved.
- Perform hands-on to deliver on commitments and coordinating with team members both onsite and offshore and enable the team to deliver on commitments.
Requirements
Primary / Essential Skills : SPARK with Scala or Python
Secondary / Optional Skills : AWS, UNIX & SQL, * Good working knowledge and strong on concepts on Spark framework
- Comfortably work with any one or more of the scripting language listed in the order of preference, Scala, Python , Unix shell scripting
- Experience / exposure in AWS Services (EC2, Lambda, S3, RDS) and related cloud technologies
- Good understanding of DATA space - Data Integration, Building Data Warehouse solutions
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