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CGI Technologies and Solutions, Inc.

Senior AWS Data Engineer

CGI Technologies and Solutions, Inc., Dallas, Texas, United States, 75215


CGI Technologies and Solutions, Inc. Senior AWS Data Engineer Dallas, Texas Apply Now

Category:

Software Development/ EngineeringPosition ID:

J1024-2473Employment Type:

Full TimePosition Description:We are seeking a passionate and innovative 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. If you are a passionate data engineer who thrives on challenges and enjoys working with cutting-edge technologies, we encourage you to apply.Your future duties and responsibilities:You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.The ideal candidate is an experienced modern data technologist with a special focus on orchestrating various data solutions in the cloud.You should be well-versed in optimizing data systems and building cloud-optimized data solutions from the ground up.You will support the Operational Excellence Squad focused on standardizing toolsets supporting the Enterprise Analytics platform and ensure optimal data architecture is formulated and delivered.You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.Required qualifications to be successful in this role:Bachelor’s in computer science or related field with at least 15+ years of relevant experience is desired.Strong hands-on experience using the following software/tools:Strong experience with AWS cloud services: EC2, EMR, EKS, Snowflake, Elastic-SearchExperience with stream-processing systems: Storm, Spark-Streaming, Kafka etc.Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.Experience with big data tools: Hadoop, Spark, Kafka, Kubernetes etc.Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.Experience with DevOps, data pipeline and workflow management tools: Concourse, Terraform, Luigi, Airflow, etc.Experience with data management tools: Collibra, Alation, BigID, Alex Solutions etc.Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of 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 to answer specific business questions and identify opportunities for improvement.Build processes supporting data transformation, data structures, metadata management, dependency, and workload management.A 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. Knowledge of agile methods is a plus.Experience leading a team of data engineers and supporting and working with cross-functional teams in a dynamic environment.What you can expect from us:Life at CGI is rooted in ownership, teamwork, respect, and belonging. 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.Come join our team—one of the largest IT and business consulting services firms in the world.Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics.

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