Cloud Data Engineer; Hybrid Federal Way, WA

Cloud Data Engineer (Hybrid) job at Globe Life. Federal Way, WA.
Job Description Cloud Data Engineer (Hybrid)
Primary Duties & Responsibilities At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that enables us to collectively grow and overcome challenges in a connected, collaborative, and mutually respectful environment that calls us to help Make Tomorrow Better.

Role Overview Could you be our next Cloud Data Engineer ? Globe Life is looking for a Cloud Data Engineer to join the team! In this role, you will be responsible for supporting Cloud Data Management and Advanced Analytics platforms. In this role, an employee will work with data services, data analysts, and the data scientist team(s) to help the organization build out secure, scalable, fault-tolerant, and high-performing cloud-based architecture to enable and sustain data-driven decisions.

This is a hybrid position located in McKinney, Texas ( WFH Monday & Friday, In Office Tuesday-Thursday) .
What You Will Do

• Design, implement, and support various database services of our Cloud Platform.
• Provide technological guidance on Data Lake and Enterprise Data Warehouse design, development, implementation, and monitoring.
• Understand, design, and implement Data Security around cloud infrastructures.
• Provide support and guidance to Data Services and other application development teams on various AWS Database Products.
• Collaborate with leadership on process improvements and strategic initiatives for the Cloud Platform.

• Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
• 5+ years of experience in Information Technology.
• 3+ years of experience in Database Engineering, primarily in AWS Redshift, RDS/Aurora, Dynamo
  
  DB, DMS, and Glue.
• Proven experience in building data pipelines and database applications
• Strong coding and scripting experience with Python, Power Shell, or similar languages.
• Experience in implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus
• Prior domain experience in Life Insurance, Annuity, or Financial Services is a plus.
• AWS Certifications are considered a strong plus.
• Extensive hands-on experience including design and implementation across a broad range of database services on Amazon Web Services (AWS).
• Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift).
• Solid understanding of various Data Management and Data Pipeline tools available in AWS.
• Working knowledge of primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, Cloud Watch, Cloud Trail, ECS, ECR, EMR, IAM, SNS, etc.
• Development experience with any major ETL tool, preferably Informatica.
• Good understanding of implementing data lake and data warehouse in the Cloud.
• Experience in creating and deploying Cloud Formation Templates (CFTs)
• Experience with Lifecycle Management of S3 Buckets.
• Clear Understanding of Cloud Databases Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users and permissions.
• Good Understanding of AWS Encryption methodologies and AWS KMS Services.
• Experience with database performance testing and capacity planning.
• Working knowledge and experience with software development life cycle (SDLC) and agile/iterative methodologies.
• Experience with implementing Big Data technologies, such as Hadoop, Spark, Presto, Hive, and Hue, will be a major advantage.
• Knowledge of AWS Machine Learning Offerings is a plus
• Experience with any Data Visualization tools is a plus
• Excellent verbal and written communication skills.
• Ability to work independently and as part of a team.

• Reliable and predictable attendance of your assigned shift.
• Ability to work full time and/or part time based on the position specifications.