Cloud Data Engineer

2 days ago

McKinney, Texas, United States Globe Life Full time
Job Title: Sr. Cloud Data Engineer

Globe Life is seeking an experienced Sr. Cloud Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, implementing, and supporting various database services of our Cloud Platform.

Key Responsibilities:
  • Design and implement secure, scalable, fault-tolerant, and high-performing cloud-based architecture to enable and sustain data-driven decisions.
  • 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.
  • Work with leadership on process improvement and strategic initiatives on Cloud Platform.
Requirements:
  • Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
  • 7+ years of experience in Information Technology.
  • 5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue.
  • Proven experience in building data pipelines and database applications.
  • Strong coding and scripting experience with Python, PowerShell, or similar languages.
  • Development experience with any major ETL tool, preferably Informatica.
  • Excellent verbal and written communication skills.
  • 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.
  • Ability to work independently and as part of a team.
  • Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus.
  • Prior domain experience of Life Insurance, Annuity, or Financial Services is a plus.
  • Knowledge of AWS machine learning offerings will be a plus.
  • Experience with any data visualization tools will be a plus.
  • AWS certifications strongly preferred.
What We Offer:
  • Competitive compensation designed to reflect your expertise and contribution.
  • Comprehensive health, dental, and vision insurance plans.
  • Robust life insurance benefits and retirement plans, including company-matched 401k and pension plan.
  • Wellness club reimbursements and gym discounts.
  • Paid holidays and time off to support a healthy work-life balance.
  • Parental leave to help our employees welcome their new additions.
  • Development training programs to enhance your skills and career progression.

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