SR. DATA ENGINEER

Position Description.
We are seeking a Sr.
Databricks Data engineer to architect, design, build and support various data ingestion, integration, curation, and publishing/exchange solutions, using batch, API, and stream data processing techniques across various cloud-based systems and applications.
Hands-on knowledge of framework-based architecture design and development for data management a big plus.
This role is located at a client site in the Fort Lauderdale, Florida area.
A hybrid working model is acceptable.
Your future duties and responsibilities.
Data Integration Platform Design and Development.
• Design, build and implement framework-based data pipelines and APIs for batch and real-time data ingestion, integration, curation, and publishing using reusable plug-and-play components.
• Develop and enhance frameworks to consume API components such as JSON payloads, CSVs, etc.
• Abstract data to design and build canonical models and data pipelines and APIs to maintain them.
• Integrate and process private data securely across multiple AWS accounts with compliance to all security protocols, including PgP encryption and encryption at rest.
• Implement data transformations and curate ingested data to ensure high-quality and usable datasets.
Integration and Ingestion.
• Utilize Databricks as unified data integration platform.
• Leverage Kafka (or similar messaging queue) as an enterprise integration tool to ingest and integrate near real time and large volumes of diverse data from multiple sources.
• Build frameworks around APIs to bring in data from various sources efficiently.
Security and Compliance.
• Ensure secure handling of Personally Identifiable Information (PII) data in AWS cloud environments.
• Understand and implement secure zones and mechanisms for PII data handling.
• Manage data securely across different storage solutions like RedShift and other data warehouses.
Multi-Cloud Expertise.
• Demonstrate an understanding of different cloud service models - PaaS, SaaS, IaaS, etc.
across AWS, Azure, and GCP.
• Develop solutions that are compatible with multi-cloud environments, ensuring seamless integration and operation.
• Implement continuous development, deployment, testing, integration, and monitoring practices.
Use tools like Airflow for workflow automation and scheduling.
Required qualifications to be successful in this role.
Technical Skills.
• Proficiency with Databricks architecture, Unity Catalog, workbooks, Python and Spark for data processing and manipulation.
• Hands-on experience with Databricks for data analytics and pipeline creation.
• Experience with Kafka or similar messaging queues for data ingestion and integration.
• Strong SQL skills for database querying and manipulation.
• Familiarity with Airflow for workflow management.
• Knowledge of SAP S4 data architecture and integration a big plus Cloud Expertise.
• Advanced level understanding of the different cloud service models - PAAS, SAAS, IAAS etc.
across AWS, Azure and GCP • In-depth knowledge of AWS, including security, data handling, and storage solutions like RedShift and S3 • Understanding of multi-cloud architectures and best practices.
Security and Compliance.
• Experience handling PII data with a strong understanding of encryption standards (PgP, encryption at rest).
• Knowledge of secure zones and mechanisms for data protection in cloud environments.
Analytical and Problem-Solving Skills.
• Ability to abstract and transform data to meet business requirements.
• Strong problem-solving skills to troubleshoot and optimize data pipelines.
Communication and Collaboration.
• Excellent communication (verbal and written) skills to work effectively with cross-functional teams.
• Ability to document processes and frameworks clearly for future reference.
Timeliness, accuracy, and professionalism.
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.
.
is $ CGI anticipates accepting applications for this position through April .
#LI-USCSG Benefits 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 Skills.
Apache Kafka Apache Spark Data Engineering Python What you can expect from us.
Together, as owners, let’s turn meaningful insights into action.
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Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life.
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You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
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are contingent upon the ability to successfully complete a background investigation.
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