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Cloud Data Engineer.
Cloud Data Engineer.Globe Life Inc • McKinney, TX
Cloud Data Engineer.

Cloud Data Engineer.

Globe Life Inc • McKinney, TX
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  • [job_card.full_time]
  • [job_card.part_time]
[job_card.job_description]

Category

Information Technology

Job Location

7677 Henneman Way, McKinney, Texas

Tracking Code

16625

Position Type

Full-Time / Regular

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. Our thriving and dynamic community offers ample room for professional development, increased earning potential, and a secure work environment.

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.

What You Can Bring :

  • 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, DynamoDB, DMS, and Glue.
  • Proven experience in building data pipelines and database applications
  • Strong coding and scripting experience with Python, PowerShell, 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, CloudWatch, CloudTrail, 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 CloudFormation 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.
  • Applicable To All Employees of Globe Life Family of Companies :

    Reliable and predictable attendance of your assigned shift.

    Ability to work full time and / or part time based on the position specifications.

    How Globe Life Will Support You :

    Looking to continue your career in an environment that values your contribution and invests in your growth? We've curated a benefits package that helps to ensure that you don’t just work, but thrive at Globe Life :

  • Competitive compensation designed to reflect your expertise and contribution.
  • Comprehensive health, dental, and vision insurance plans because your well-being is fundamental to your performance.
  • Robust life insurance benefits and retirement plans, including company-matched 401k and pension plan.
  • Paid holidays and time off to support a healthy work-life balance.
  • Parental leave to help our employees welcome their new additions.
  • Subsidized all-in-one subscriptions to support your fitness, mindfulness, nutrition, and sleep goals.
  • Company-paid counseling for assistance with mental health, stress management, and work-life balance.
  • Continued education reimbursement eligibility and company-paid FLMI and ICA courses to grow your career.
  • Discounted Texas Rangers tickets for a proud visit to Globe Life Field.
  • Opportunity awaits! Invest in your professional legacy, realize your path, and see the direct impact you can make in a workplace that celebrates and harnesses your unique talents and perspectives to their fullest potential. At Globe Life, your voice matters.

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