| Location | Georgia |
| Job Type | Full-time |
Under general supervision, combines strong technical skills with knowledge of the database administration. Works on one or more projects of high complexity. The Analytics Engineer will contribute to our modern data estate strategy by developing scalable data solutions using Microsoft Fabric and Azure Databricks. This role will be instrumental in building resilient data pipelines, transforming raw data into curated datasets, and delivering analytics-ready models that support enterprise-level reporting and decision-making.
Skill - Required /Desired - Amount - of Experience
3+ years of experience in data engineering or analytics engineering roles. - Required - 3 - Years
Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization. - Required - 3 - Years
Azure Databricks (Spark, Delta Lake) - Required - 3 - Years
Microsoft Fabric (Dataflows, Pipelines, OneLake) - Required - 3 - Years
SQL and Python (Pandas, PySpark) - Required - 3 - Years
No. - Question
Question1 - Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?
Question2 - What is your candidate's email address?
Question3 - If selected for engagement, your candidate's hourly Pay Rate must be at least $60.92. Your candidate can be paid more; however, the hourly SRP Rate cannot exceed $82.24. Do you agree to these requirements?
Question4 - The maximum mark-up for this engagement's SRP rate is XX%. To be competitive on pricing, a mark-up below the 35% threshold is suggested. Do you agree to propose a mark-up at or below 35%?
Question5 - This assignment is contingent upon customer renewal and availability of adequate funding.