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Cloud Data Engineer
2 months ago
Globe Life Inc. is seeking a skilled Cloud Data Engineer to join our team in McKinney, TX. This is a hybrid position that offers a unique blend of remote and in-office work.
Key Responsibilities:- Design, implement, and support various database services on 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.
- Work with leadership on process improvement and strategic initiatives on Cloud Platform.
- Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
- 8+ 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.
- 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.
- AWS Certifications are considered a strong plus.
- Excellent verbal and written communication skills.
- Ability to work independently and as part of a team.
- 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 with 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 datalake and data warehouse in 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.
- Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
- Knowledge of AWS Machine Learning Offerings will be a plus.
- Experience with any Data Visualization tools will be a plus.
- Competitive compensation designed to reflect your expertise and contribution.
- Comprehensive health, dental, and vision insurance plans because we believe that taking care of your well-being is fundamental to your performance.
- Robust life insurance benefits and retirement plans, including company-matched 401k and pension plan.
- Wellness club reimbursements and gym discounts to help you stay on top of your health.
- 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 and unlock your full potential.
Globe Life Inc. is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.
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