U.S. Bank
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever‑growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description Key Responsibilities
Guide team to migrate from on Prem Cloudera to Azure cloud environment.
Designed and implemented scalable data lake solutions using Snowflake and Databricks, developed and optimized data pipelines for ingestion, transformation, and storage.
Managed data governance, quality, and security across cloud environments and implemented performance tuning, automation, and CI/CD for data workflows.
Collaborated with cross‑functional teams to support cloud migration activities.
Install, configure, manage, and monitor Cloudera Hadoop clusters, ensuring high availability, performance, and security. This includes managing HDFS, YARN, and other ecosystem components.
Tune Hadoop, Hive, and Spark jobs and configurations for optimal performance, efficiency, and resource utilization. This includes optimizing queries, managing partitions, and leveraging in‑memory capabilities.
Diagnose and resolve issues related to Linux servers, networks, cluster health, job failures, and performance bottlenecks. Provide on‑call support and collaborate with other teams to ensure smooth operations.
Implement and manage security measures within the Cloudera environment, including Kerberos, Apache Ranger, and Atlas, to ensure data governance and compliance.
Setup and manage HashiCorp Vault for secure keys and secrets management.
Utilize CyberArk for privileged access management and secure administrative tasks on the cluster.
Migrate Hadoop, Hive, and Spark data and applications to Azure cloud services such as Azure Synapse Analytics, Azure Databricks, or Snowflake. Ensure data integrity, performance tuning, and validation.
Develop scripts (e.g., shell, Ansible, Python) for automating administrative tasks, deployments, and monitoring. Work with users to develop, debug, optimize Hive/Spark/Python programs that connect to the Cloudera environment.
Create and maintain documentation for system configurations, operational procedures, and troubleshooting knowledge bases.
Work closely with the Cloudera vendor to stay current with the latest releases, perform upgrades, and address vulnerabilities.
Basic Qualifications
Advanced degree in Computer Science, Engineering, or related field.
Deep expertise in Data Engineering and Management technologies, synthetic data, automation, advanced analytics.
10+ years of hands‑on experience in Data engineering, Cloud platform management, and performance optimization.
Hands‑on experience with Hadoop, Hive, Spark, and migration of Big Data into Azure cloud services.
Working knowledge and hands‑on experience in Data Integration and Data Lake Architectures with Databricks and Snowflake platforms.
Working knowledge of Microsoft Azure cloud and big data migration to cloud platforms.
Experience with HashiCorp Vault for secrets and keys management.
Experience with CyberArk for privileged access and administrative security tasks.
Proficiency in Linux, clustering, and distributed systems.
Expertise in Hive and Spark for data processing and analytics.
Expertise in Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, and Sqoop.
Proficiency in languages such as shell, Ansible, C/C++, Java, and Python, PySpark for automating workflows, deployments, and monitoring.
Expertise in Linux, Network, Python scripting, DNS, Kerberos, LDAP/AD, MySQL, PostgreSQL, JupyterHub.
Experience in creating and maintaining documentation for system configurations, operational procedures, and troubleshooting knowledge bases.
Strong problem‑solving skills and the ability to diagnose and resolve system failures and performance bottlenecks.
Excellent communication and collaboration skills to work effectively with cross‑functional teams.
Preferred Skills and Experience
Strong experience with Cloudera Hadoop distribution administration.
Strong problem‑solving, analytical skills.
Deep understanding of banking, operations, risk, and compliance—pairing technical fluency with business and regulatory acumen.
Experience on change management process and addressing PCI and PII data requirements.
Experience in cloud‑native architectures (Azure/AWS), Kubernetes, Docker, and containerized workflows.
Experience in implementing secure systems with secure API design, IAM integration, Kerberos, Active Directory, and Azure SSO.
The role offers a hybrid/flexible schedule, which means there's an in‑office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short‑term and long‑term disability
Pregnancy disability and parental leave
401(k) and employer‑funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law.
E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet‑based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
Pay Range: $105,400.00 - $124,000.00
Posting may be closed earlier due to high volume of applicants.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
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Job Description Key Responsibilities
Guide team to migrate from on Prem Cloudera to Azure cloud environment.
Designed and implemented scalable data lake solutions using Snowflake and Databricks, developed and optimized data pipelines for ingestion, transformation, and storage.
Managed data governance, quality, and security across cloud environments and implemented performance tuning, automation, and CI/CD for data workflows.
Collaborated with cross‑functional teams to support cloud migration activities.
Install, configure, manage, and monitor Cloudera Hadoop clusters, ensuring high availability, performance, and security. This includes managing HDFS, YARN, and other ecosystem components.
Tune Hadoop, Hive, and Spark jobs and configurations for optimal performance, efficiency, and resource utilization. This includes optimizing queries, managing partitions, and leveraging in‑memory capabilities.
Diagnose and resolve issues related to Linux servers, networks, cluster health, job failures, and performance bottlenecks. Provide on‑call support and collaborate with other teams to ensure smooth operations.
Implement and manage security measures within the Cloudera environment, including Kerberos, Apache Ranger, and Atlas, to ensure data governance and compliance.
Setup and manage HashiCorp Vault for secure keys and secrets management.
Utilize CyberArk for privileged access management and secure administrative tasks on the cluster.
Migrate Hadoop, Hive, and Spark data and applications to Azure cloud services such as Azure Synapse Analytics, Azure Databricks, or Snowflake. Ensure data integrity, performance tuning, and validation.
Develop scripts (e.g., shell, Ansible, Python) for automating administrative tasks, deployments, and monitoring. Work with users to develop, debug, optimize Hive/Spark/Python programs that connect to the Cloudera environment.
Create and maintain documentation for system configurations, operational procedures, and troubleshooting knowledge bases.
Work closely with the Cloudera vendor to stay current with the latest releases, perform upgrades, and address vulnerabilities.
Basic Qualifications
Advanced degree in Computer Science, Engineering, or related field.
Deep expertise in Data Engineering and Management technologies, synthetic data, automation, advanced analytics.
10+ years of hands‑on experience in Data engineering, Cloud platform management, and performance optimization.
Hands‑on experience with Hadoop, Hive, Spark, and migration of Big Data into Azure cloud services.
Working knowledge and hands‑on experience in Data Integration and Data Lake Architectures with Databricks and Snowflake platforms.
Working knowledge of Microsoft Azure cloud and big data migration to cloud platforms.
Experience with HashiCorp Vault for secrets and keys management.
Experience with CyberArk for privileged access and administrative security tasks.
Proficiency in Linux, clustering, and distributed systems.
Expertise in Hive and Spark for data processing and analytics.
Expertise in Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, and Sqoop.
Proficiency in languages such as shell, Ansible, C/C++, Java, and Python, PySpark for automating workflows, deployments, and monitoring.
Expertise in Linux, Network, Python scripting, DNS, Kerberos, LDAP/AD, MySQL, PostgreSQL, JupyterHub.
Experience in creating and maintaining documentation for system configurations, operational procedures, and troubleshooting knowledge bases.
Strong problem‑solving skills and the ability to diagnose and resolve system failures and performance bottlenecks.
Excellent communication and collaboration skills to work effectively with cross‑functional teams.
Preferred Skills and Experience
Strong experience with Cloudera Hadoop distribution administration.
Strong problem‑solving, analytical skills.
Deep understanding of banking, operations, risk, and compliance—pairing technical fluency with business and regulatory acumen.
Experience on change management process and addressing PCI and PII data requirements.
Experience in cloud‑native architectures (Azure/AWS), Kubernetes, Docker, and containerized workflows.
Experience in implementing secure systems with secure API design, IAM integration, Kerberos, Active Directory, and Azure SSO.
The role offers a hybrid/flexible schedule, which means there's an in‑office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short‑term and long‑term disability
Pregnancy disability and parental leave
401(k) and employer‑funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law.
E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet‑based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
Pay Range: $105,400.00 - $124,000.00
Posting may be closed earlier due to high volume of applicants.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
#J-18808-Ljbffr