Senior AWS Data Engineer

CGI • Westlake, TX

398d • $68,700 - $146,800

About The Position

CGI is seeking a passionate and innovative Senior AWS Data Engineer to join our team. The ideal candidate is a skilled technologist with a proven track record in designing, developing, and optimizing complex data solutions. This role involves expanding and optimizing data and data pipeline architecture, supporting cross-functional teams, and ensuring optimal data architecture for the Enterprise Analytics platform.

Requirements

• At least 15+ years of relevant experience.
• Strong hands-on experience with AWS cloud services: EC2, EMR, EKS, Snowflake, Elastic-Search.
• Experience with stream-processing systems: Storm, Spark-Streaming, Kafka.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala.
• Experience with big data tools: Hadoop, Spark, Kafka, Kubernetes.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with DevOps, data pipeline and workflow management tools: Concourse, Terraform, Luigi, Airflow.
• Experience with data management tools: Collibra, Alation, BigID, Alex Solutions.
• Experience building and optimizing big data pipelines, architectures, and data sets.
• Advanced working SQL knowledge and experience with relational databases.
• Strong analytic skills related to working with unstructured datasets.
• Experience in cloud services such as AWS EMR, EC2, EKS, Jupyter notebooks.
• Experience performing root cause analysis on internal and external data and processes.
• Build processes supporting data transformation, data structures, metadata management, dependency, and workload management.
• Successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Strong project management and organizational skills.

Nice To Haves

• Knowledge of agile methods.
• Experience leading a team of data engineers.

Responsibilities

• Expand and optimize data and data pipeline architecture.
• Optimize data flow and collection for cross-functional teams.
• Support the Operational Excellence Squad in standardizing toolsets for the Enterprise Analytics platform.
• Ensure optimal data architecture is formulated and delivered.
• Support the data needs of multiple teams, systems, and products.
• Optimize or redesign the company's data architecture to support next-generation products and data initiatives.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed