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Lead Data Architect with AWS, PySpark, and Python Skills
2 months ago
Job Title:
AWS Data Engineer with PySpark and Python Expertise
Location:
Remote
Contract:
6 months
Required Core Skills:
- AWS
- Python
- PySpark
- SQL
- Shell scripting
Minimum years of experience: 7 years
Areas of responsibility / Detailed Job Description:
- The successful candidate will work as a lead on-site, overseeing the development and implementation of data integration solutions across multiple platforms.
- They will be responsible for setting up data connections from various sources, building and transforming data in SQL or PySpark/Python, and creating data pipelines using pipeline builders or code repositories.
- The ideal candidate will have expertise in configuring and managing middleware agents on Linux, as well as debugging and optimizing failures in the Spark framework and Java.
- They will also be responsible for administering the platform, including whitelisting endpoints, setting up ingress/egress policies, and managing SAML configurations.
- Additionally, they will perform governance operations, such as identifying and rectifying PII data, setting up access approvals, and performing security operations, including vulnerability fixes and resource management on servers.
- The successful candidate will also support ontologies and other data pipelines, ensuring seamless data flow and integration.