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Lead BigData Engineer

Mindlance

CHARLOTTE, NC

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Apache Kafka, Apache Spark, Artificial Intelligence (AI), Automation, Backlog Prioritization, Big Data, Cloud Computing, Consulting, Data Management, Database Extract Transform and Load (ETL), Engineering, GCP (Good Clinical Practices), Java, Microsoft Windows Azure, NoSQL, Performance Tuning/Optimization, Python Programming/Scripting Language, Regulatory Compliance, Relational Databases (RDBMS), Software Engineering, Sprint Planning, Standup Meetings
LOCATION
CHARLOTTE, NC
POSTED
23 days ago
In this contingent resource assignment, you may:
  • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
  • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.

Required Qualifications:
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Additional Notes:
  • Data Engineering experience
  • Proficiency in Database, SQL, PLSQL skills.
  • Experience with Python or Java
  • Experience with ETL tools and data pipeline frameworks
  • Experience with Parquet files in S3 buckets
  • Familiarity with relational and NoSQL database
  • Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka
  • Performance Tuning and Automation: Hands-on experience in performance tuning, including any report automations involved.
  • Agile Methodology: Experience in working in Agile projects, including participation in Backlog grooming, sprint planning, and Daily stand-up meetings.
  • Experience with Artificial Intelligence
  • Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

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Mindlance

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