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Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudETLHadoopInformaticaPythonSDLCSparkSQL
About the role
Key responsibilities & impact- Lead and develop robust data engineering solutions to meet the needs of our organization and business customers.
- Be responsible for establishing appropriate architecture to support current and future business requirements.
- Mentor team members and provide technical guidance on Cloud Data Lake and Data Warehouse design, development, implementation and monitoring.
- Understand, design and implement Data Security around cloud data infrastructures.
- Provide support and guidance to Data Services and other application development teams on various Data Engineering and Analytics products.
Requirements
What you’ll need- Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
- 10+ years of experience in Information Technology.
- 5+ years of hands-on experience in Database Engineering and data engineering solutions, including design and implementation in AWS Redshift, RDS/Aurora, DMS, Glue, and Lambda.
- Proven experience building data pipelines and database applications.
- Strong coding and scripting experience with Python, PowerShell, or similar languages, including implementation of Big Data technologies such as Hadoop, Spark, Presto, Hive, and Hue.
- Working knowledge of AWS Data Management and Pipeline tools, including S3, Lambda, Glue, Athena, CloudWatch, CloudTrail, IAM, and SNS.
- Advanced SQL programming and solid understanding of implementing data lake and data warehouse solutions in the cloud.
- Development experience with a major ETL tool, preferably Informatica.
- Experience in creating and deploying CloudFormation Templates (CFTs).
- Experience with database performance testing and capacity planning.
- Working knowledge of SDLC and agile/iterative methodologies.
- Excellent verbal and written communication skills and ability to work independently and as part of a team.
- AWS or LOMA Certifications, experience in Life Insurance/Annuity/Financial Services, knowledge of AWS AI offerings, and experience with data visualization tools are all a plus.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdatabase engineeringAWS RedshiftAWS RDSAWS AuroraAWS DMSAWS GlueAWS LambdaPythonSQL
Soft Skills
mentoringtechnical guidancecommunicationteamworkindependence
Certifications
AWS CertificationLOMA Certification