Big Data Technical Lead

Confidential Company  •  Farmington, CT

5 - 7 years experience  •  Technology

Salary depends on experience
Posted on 06/13/18 by Cynet Sytems
Confidential Company
Farmington, CT
5 - 7 years experience
Technology
Salary depends on experience
Posted on 06/13/18 Cynet Sytems

We are looking for Big Data Technical Lead for our client in Farmington, CT

Job Title: Big Data Technical Lead

Job Location: Farmington, CT

Job Type: Contract ? 12 Months / Contract to Hire / Direct Hire

Job Description:

Responsibilities:

  • Work with enterprise architects, product architects, product owners, data scientists and engineers to bring big data and data science projects into Production.
  • Assist in creating big dataarchitecture patterns/frameworks for ETL activities and analytics.
  • Lead Application Data Lake, Big Data Platform containing application generated data
  • Engage with all teams in a collaborative environment
  • Architect, design, deliver, test, and troubleshoot complex data implementations
  • Work with solution architects to improve data strategy, quality and governance
  • Guide, mentor and influence architectural direction and principles adoption
  • Work closely with both business and external users to quickly deliver high-quality applications
  • Life Insurance Knowledge Preferred

Preferred Skills:

  • 5+ Years Hands on Experience with: Core Java, Hadoop, Apache Spark, Sqoop, Kafka, Python, Linux, Hive, Kafka, NoSQL Databases, Shell Scripting
  • Support the entire application lifecycle (concept, design, test, release and support)
  • Write unit tests to identify malfunctions maintaining code coverage
  • Participating in code reviews and responding to reviews on your code
  • Gather specific requirements and suggest solutions
  • Cloud ? private/hybrid/public, Big Data (Spark, Cloudera, Hortonworks) ecosystems
  • Experience in designing big data lake/warehouse for data integration from enterprise wide applications/systems
  • Knowledge and understanding of ETL design and data processing mechanisms
  • Knowledge about data replication, data masking, and performance factors, etc.
  • Ability to combine strong analytical and technical skills with business skills to engage with a wide range of stakeholders
  • Experience in Agile/Scrum Methodologies
  • Excellent verbal and written communication

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