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Lead Data Engineer

Mindlance

Job Descriptions:
  • 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.
  • 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."
Vacancy posted 4 days ago
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