Big Data Engineer 1388
Apply NowCompany: Sistema Technologies Inc.
Location: Austin, TX 78745
Description:
Austin, TX
Big Data Engineer - Solicitation# 529501388
Texas Health and Human Services Commission (HHSC)
The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.
Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists.
Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position. Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 10 Required Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.
I need Three References
Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End-User Subordinate
Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End- User Subordinate
Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End- User Subordinate
Big Data Engineer - Solicitation# 529501388
Texas Health and Human Services Commission (HHSC)
The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.
Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists.
Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position. Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 10 Required Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.
I need Three References
Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End-User Subordinate
Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End- User Subordinate
Reference Name ( Required ): Title (Optional) Company Name ( Required ): Phone Number ( Required include area code): E-mail address (Optional): Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End- User Subordinate