Sr. Data Engineer Hybrid

1 month ago

Wilmington, United States CyberTec Full time

Job Title : Sr. Data Engineer - Hybrid ( Local Preferred )
Location: Charlotte, NC (hybrid in office)
Job Type : Hybrid
Duration : 12+ months
Opening : 1 Opening

Make sure to Vet the candidate well before submitting
Summary :-
About the Role:
Project is Supply chain network planning effort to determine the optimized channel.

Skill Requirements:
Mandatory skills: Hadoop, Hive, hbase, etl, spark and Talend
Secondary skills: Java

Job Description:
Maintain and migrate ETL Talend jobs into Spark, Maintain Hadoop Jobs, and Redesign the data streaming from legacy using Java.

Qualifications
Minimum Qualifications

  • Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
  • 7-8 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
  • 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)

Skills & Abilities Good to have:
  • Experience with cloud managed service for Client/Ops tech stack like Vertex AI, Client OPS etc
  • Well versed with feature engineering tools / techniques like PCA , featureTools, Pyfeat etc.
  • Well versed with Model development / techniques to use collaborative filtering or look a like models.
  • Strong communication and data presentation skills; ability to communicate with data-driven stories
  • Ability to quickly adapt to new technologies, tools and techniques
  • Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines
  • Ability to work with technical and non-technical team members

Preferred Qualifications
  • Master's Degree in Computer Science, CIS, or related field
  • 5 years of IT experience developing and implementing business systems within an organization
  • 5 years of experience working with defect or incident tracking software
  • 5 years of experience writing technical documentation in a software development environment
  • 3 years of experience working with an IT Infrastructure Library (ITIL) framework
  • 3 years of experience leading teams, with or without direct reports
  • 5 years of experience working with source code control systems
  • Experience working with Continuous Integration/Continuous Deployment tools
  • 5 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions

Data Engineering
  • 7 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)
  • Expertise in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)

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