Senior Big Data Engineer

Job Description:

POSITION:                Senior Big Data Engineer

JOB LOCATION:      208 S. Akard Street Dallas, TX 75202 [and various unanticipated locations throughout the U.S.; may work from home]

Duties: Create and enhance business needs in CDO data platform target architecture frameworks including Azure and AWS. Develop enablers and data platforms in multi cloud big data environments and maintain integrity during the life cycle phase. Design and develop test automation to validate code builds in CI pipelines using Azure DevOps and Jenkins. Deploy applications in AKS clusters and maintain both managed and stand-alone clusters utilizing Nginx and LDAP authentication. Utilize monitoring tools including Prometheus, Grafana, and Alertmanager. Maintain and support cloud solutions and ensure standard processes exist for systems utilizing cloud compliance tools including Astra Patch for virtual machines. Utilize Docker containers and Kubernetes containerized solutions in both on-prem and on cloud environments. Utilize scripting languages including Shell, PowerShell, Python, and Bash. Use Terraform and CloudFormation for automated cloud infra deployments and Ansible for configuration management. Implement centralized monitoring and alerting systems across multiple cloud environments in both AWS and Azure. Utilize AWS services including EC2, ELB, Lambda, Route53, EKS, Active Directory, VPC, IAM, AMI, S3, and RDS. Utilize Azure services including VM, VMSS, VNets, AKS, LBs, PLS.PLE, DNS Zones, storage accounts, and Azure monitor and log analytics. Create Infoworks Domains, NIFI environments, sources, pipelines, and workflows for data movement from various sources to Snowflake destinations. Use data movement tools including SFTP and Connect Direct. Create and manage SQL servers and SQL databases. Design disaster recovery methods and implement them for all infrastructures in Cloud environments.

MINIMUM REQUIREMENTS: Requires a Bachelor’s degree, or foreign equivalent degree, in Computer Science or Computer Engineering and five (5) years of progressive post-baccalaureate experience in the job offered, or five (5) years of progressive post-baccalaureate experience in a related occupation designing and developing test automation to validate code builds in CI pipelines using Azure DevOps and Jenkins; deploying applications in AKS clusters and maintaining both managed and stand-alone clusters utilizing Nginx and LDAP authentication; utilizing monitoring tools including Prometheus, Grafana, and Alertmanager; maintaining and supporting cloud solutions and ensuring standard processes exist for systems utilizing cloud compliance tools including Astra Patch  for virtual machines; utilizing Docker containers and Kubernetes containerized solutions in both on-prem and on cloud environments; utilizing scripting languages including Shell, PowerShell, Python, and Bash; using Terraform and CloudFormation for automated cloud infra deployments and Ansible for configuration management; implementing centralized monitoring and alerting systems across multiple cloud environments in both AWS and Azure; utilizing AWS services including EC2, ELB, Lambda, Route53, EKS, Active Directory, VPC, IAM, AMI, S3, and RDS; utilizing Azure services including VM, VMSS, VNets, AKS, LBs, PLS.PLE, DNS Zones, storage accounts, and Azure monitor and log analytics; creating Infoworks Domains, NIFI environments, sources, pipelines, and workflows for data movement from various sources to Snowflake destinations; using data movement tools including SFTP and Connect Direct; and creating and managing SQL servers and SQL databases. 

Our Senior Big Data Engineers earn between $163,966 - $210,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

Joining our team comes with amazing perks and benefits:

· Medical/Dental/Vision coverage

· 401(k) plan

· Tuition reimbursement program

· Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

· Paid Parental Leave

· Paid Caregiver Leave

· Additional sick leave beyond what state and local law require may be available but is unprotected

· Adoption Reimbursement

· Disability Benefits (short term and long term)

· Life and Accidental Death Insurance

· Supplemental benefit programs: critical illness/accident hospital indemnity/group legal

· Employee Assistance Programs (EAP)

· Extensive employee wellness programs

· Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.