Big Data - Architect

Keylent, Inc.

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-10 years of experience in big data architecture and analytics
  • Strong expertise in data ingestion pipeline design and data modeling
  • Hands-on proficiency with Hadoop and various big data technologies
  • Ability to design scalable data center architectures across environments
  • Familiarity with NoSQL databases and security components like Kerberos

Responsibilities

  • Travel between Memphis and Dallas for project collaboration
  • Design and implement data architecture to support business needs
  • Establish tracking methods for data quality and lineage
  • Develop scalable data pipelines for efficient data processing
  • Utilize major big data frameworks and tools for analytics
  • Implement and manage security protocols in big data environments

Benefits

  • Opportunity for hands-on work with cutting-edge big data technologies
  • Involvement in diverse projects that enhance skills and career growth
  • Flexibility to work in different data environments including cloud
  • Collaborative work with business partners to craft data solutions
  • Potential for professional travel between key city locations
Full Job Description
Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes

Job description
Location : Memphis, TN
Role : Big Data - Architect

Salary : Open to market standard

Roles and Responsibilities
• Should be willing to travel between Memphis and Dallas for project connects
• Experienced on data architecture including data ingestion pipeline design, data modeling and data mining, machine learning and advanced data processing.
• Experience in establishing methods and procedures for tracking data sources, data lineage, data quality, data dictionary, data models and master data
• Experienced on Design and implement modern, scalable data center architectures (on premise, hybrid or cloud) that meet the requirements of our business partners
• Hands-on experience in working with Hadoop Distribution platforms like HortonWorks, Cloudera, and MapR
• Hands-on experience with major big data technologies and frameworks including Hadoop, MapReduce, Hive, Sqoop, Pig, HBase, Oozie, Scala, PySpark, Unix Scripts.
• Experience on Spark component Spark Core, Spark SQL, Spark Streaming, Client tools(Zeppelin) and Mlib.
• Must have knowledge on Hadoop security components like Kerberos, SSL, and Encryption.
• Experience and knowledge on NoSQL database systems.
• Good experience on programming language such as Java, Scala, Python;
• Solid technical expertise and troubleshooting skills;

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