Data Engineer/Scientist

Category: Analytics and Emerging Digital Technologies

Main location: United States, Georgia, Atlanta

Position ID:J0826-0289

Employment Type: Full Time

Position Description:

Bring your data engineering and data science experience to a top brand in Atlanta to build insights for stakeholders across the business. Build leading edge analytics models in the microbiology domain. If you are a person who is both technically adept and an excellent communicator who can take ownership of a mission critical data analysis platform, then this role is for you.

Competencies, Years of experience, Proficiency level
• Data Engineering and ELT Pipelines, 3, Very Good
• Data Analysis, 3, Very Good
• Excellent Communication Skills, 3, Expert
• DataBricks 3, Very Good
• Python, SQL, Spark, AWS, 3, Very Good
This role is located at a client site in Atlanta, GA. A hybrid working model is acceptable.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $79,600.00 $176,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs

#LI-JL5

Your future duties and responsibilities:

. Build and maintain data pipelines using Databricks, Python, SQL, and Spark
. Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation.
. Develop datasets and workflows that support machine learning models and analytical use cases.
. Build clear visualizations (Tableau) and communicate findings through effective data storytelling.
. Collaborate with stakeholders to translate business problems into data driven solutions.
. Develop data pipelines using AWS services.
. Monitor and improve production data and machine learning workflows.
. Ensure data quality, reliability, security, and performance.

Required qualifications to be successful in this role:

. Strong experience with data engineering pipelines and ELT processes.
. Excellent ability to develop and publish data analysis reports that satisfy requests from the business
. Ability to explain analytical findings and technical concepts to non technical stakeholders.
. Proficiency in Python, SQL, Spark, and Databricks
. Experience with AWS services such as S3, Glue, Lambda, Athena, and Step Functions.
. Hands on knowledge of exploratory data analysis, statistical testing, feature engineering, machine learning models, and evaluation metrics.
. Experience with Pandas, NumPy, scikit learn, and visualization libraries such as Matplotlib, Seaborn, or Plotly.
. Knowledge of Delta Lake, data modeling, data quality, and performance optimization.
. Strong problem solving, communication, and learning skills.

Skills:

• AWS Glue
• AWS Lambda
• Data Engineering
• Data Engineering
• Data Analysis

What you can expect from us:

Together, as owners, let's turn meaningful insights into action.