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Position Title : Data Engineer /Architect – Sigma Flow SME
ATTENTION: ” $TOP PAY “(Interviewing Now)
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Location : San Diego, CA
Full time : Data Scientist Architectural Design
Salary : Competitive
– Candidates in San Diego are preferred, however, the role is remote. The
candidates MUST work in PST Hours.
– NEED LOCAL CANDIDATES WITH THE DL.
– Need LinkedIn with the full location & profile picture.
Summary :
– We are seeking a highly skilled Sigma Flow Subject Matter Expert (SME) with
experience in database technologies and to optimize.
– This role will serve as the technical authority for Sigma Flow implementations.
In this position, you will ensure reliable data ingestion, transformation, analytics, and systems.
– The ideal candidate combines hands on engineering skills with architectural
insight. Moreover, they can partner effectively with data engineers and platform teams.
Key Responsibilities Sigma Flow :
• Act as the primary technical authority for Sigma Flow design, configuration,
and operational best practices.
• Design, implement, and maintain Sigma Flow workflows for batch and
near-real-time data processing.
• Optimize existing Sigma Flow pipelines for performance, reliability, and
scalability.
• Troubleshoot and resolve complex workflow failures, data quality issues,
and performance bottlenecks. In addition, focus on Database & Data Engineering.
• Design and maintain integrations between Sigma Flow and relational and
non-relational databases (e.g., Oracle, PostgreSQL, SQL Server, MySQL,
Snowflake, or similar).
• Develop efficient SQL queries, stored procedures, and data models to
support analytics and downstream applications.
• Integrate Sigma Flow with upstream and downstream systems such as
OMS, ADMS, AMI, GIS, and enterprise data lakes. This is where applicable.
• Provide Tier 3 / SME-level support for production incidents and platform
issues.
• Mentor engineers and analysts on Sigma Flow, Python, and database
best practices.
Required Qualifications / Technical Skills :
• 5+ years of experience in data engineering, workflow orchestration, or
analytics platforms
• Demonstrated hands-on expertise with Sigma Flow (design,
configuration, troubleshooting)
• Some understanding of Python for data processing, automation, and
integrations
• Advanced proficiency in SQL and relational database design
• Experience working with large datasets and high-availability data
platforms Platform & Tooling
• Experience with Linux-based environments
• Familiarity with version control systems (Git)
• Experience with job scheduling, workflow orchestration, or ETL tools
• Understanding of monitoring, logging, and alerting practices Preferred
For consideration you must act now, send resume to
smithassociates1725@gmail.com
Sincerely,
Gerald Smith
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