Other

Torsap Thai Kitchen; West Sacramento (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Personal development programs

Flexible work arrangements

Comprehensive benefits

Job summary

GIA Data Analytics team in West Sacramento is hiring a Data Analytics Engineer to enable audit analytics with curated datasets and self-serve applications. You will identify and integrate new data sources, run data quality checks, and develop automated data preparation routines with timestamps.

You will document processes, maintain the analytics library, and mentor analysts on the use of data assets and audit logs, while ensuring platform security and backups.

Qualifications

• Minimum 5 years in a similar data analytics or data engineering role.
• Fluent English with strong communication skills.
• Experience connecting to diverse data sources via APIs and SQL databases.
• Proficient in Python and ETL workflows for data pipelines.

Responsibilities

• Enable audit teams with curated data and self-serve applications.
• Identify, integrate, and operationalise new data sources.
• Run data input quality checks for completeness and accuracy.
• Develop scheduled data preparation routines with time-stamping.
• Document data integration processes and train others.
• Maintain data analytics library with definitions, limitations, provenance.
• Maintain AWS data analytics platform; manage vulnerabilities and backups.
• Mentor analysts on data use and governance.

Skills

Data analytics

Fluent English

APIs

SQL databases

Python

ETL workflows

Auditing knowledge

AI awareness

Education

Degree with high technical content

Tools

Python (Pandas/NumPy/SQLAlchemy)

AWS

Azure

Terraform

S3

EC2

Glue

Athena

IAM

Job description

What you will do:

Reporting directly to the Audit Analytics Director, the Data Analytics Engineer enables GIA Data Analysts and Audit Teams to deliver efficient data-driven audit testing through curated datasets and self-serve applications.

• Identify, integrate, and operationalise new data sources into the GIA Data Analytics environment
• Run data input quality checks to ensure completeness and accuracy
• Develop scheduled data preparation routines to transform raw inputs into curated datasets with time-stamping for historical accuracy
• Document data integration processes and train others to eliminate single points of failure
• Maintain an organised data analytics library including field definitions, data limitations, and provenance details
• Maintain the GIA Data Analytics AWS platform. Manage vulnerabilities, patching, data and code backups.
• Mentor Data Analysts and Internal Audit teams on the use of available data

Qualifications

What you will bring:

• At least 5 years of experience in a similar role
• Degree with high technical content
• Fluent English
• Experience connecting to diverse data sources through APIs, SQL databases, and other methods, and developing data pipelines
• Expert in data processing, automation, and analytics using Python (Pandas, NumPy, SQLAlchemy, and ETL workflows)
• Experience with AWSor Azure equivalents (Terraform, S3, EC2, Lambda, Glue, Athena, IAM, CloudShell)
• Knowledge of internal audit workflows, risk assessment, and control testing models
• Experience building pipelines preserving evidence chains and audit logs
• Experience with AI would be advantageous.

Additional Information

What you will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials & book.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.