Lead Data Engineer
Mindlance
Job Title
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 2 days ago
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