Databricks Administrator managing Databricks environments at Cayuse Civil Services. Focused on optimizing performance, security, reliability, and cost - effectiveness.
About the role
- Data platform engineer at MUFG leading Informatica and AWS Glue administration and migrations. Building ETL, Spark/PySpark processing, automation, and hybrid support.
Responsibilities
- Install, configure and manage enterprise data integration platforms (Informatica and AWS Glue) in AWS cloud and on-premises
- Perform migration of code base from one Data Integration platform to another and lead lift & shift/replatform/refactor efforts
- Perform Informatica administration tasks: installation, domain configuration, code promotions/migrations, user/group/privilege management, backups and restores
- Provide production support and develop ETL mappings, workflows for data warehouse environments
- Administer and support Informatica PowerCenter, Data Quality, Webservices, PowerExchange, Informatica Cloud (IDMC), DVO
- Implement and maintain version control (Bitbucket/GitHub) and scheduling (AutoSys) integrations
- Implement security best practices for Data Integration Platforms and enforce Secure by Design principles
- Develop and maintain reusable automation scripts for monitoring INFA services, CPU/Memory, volume group/SAN, Network, backups and workflow/taskflow start scripts
- Perform performance tuning of ETL code and platform components; identify and remediate bottlenecks
- Use UNIX shell scripting and tools (pmcmd/pmrep) to manage and automate tasks
- Create and manage TNS/odbc/DB2 entries and connectivity to databases including RDS
- Work with AWS services (Glue, S3, EKS, Data Pipeline, Step Functions, RedShift, EMR) and integrate with Informatica and Spark
- Build ETL code using Apache PySpark and work on big data processing platforms like Apache Spark
- Collaborate with development, enterprise architects and onshore/offshore teams for tool assessments, architecture discussions, and product roadmaps
- Create and maintain documentation in Confluence and Jira and provide support/troubleshooting to stakeholders
Requirements
- At least 7+ years of experience in Data Integration products
- Familiarity with data processing systems such as Apache Spark and Pyspark
- Strong proficiency with AWS cloud services including Glue, S3, EKS, Data Pipeline, Step Functions, RedShift, Amazon EMR
- Hands-on experience with data integration platforms like Informatica (PowerCenter, Data Quality, Webservices, PowerExchange, Informatica Cloud/IDMC, DVO)
- Expertise in Informatica Administration tasks: Installation, Configuration of domains, Code Promotions/Migrations, managing users/groups/privileges, backups and restores
- Hands-on experience developing ETL mappings, workflows and providing production support for critical data warehouse environments
- Familiarity with version control tools like Bitbucket and GitHub
- Familiarity with scheduling tools like AutoSys
- Hands-on experience implementing security for Informatica environments/domains
- Experience implementing reusable automation scripts for monitoring, backups, workflow starts, and server monitoring
- Experience with performance tuning ETL code and identifying bottlenecks
- Expertise in UNIX shell scripting and using pmcmd/pmrep
- Experience creating TNS/odbc entries and DB2 entries and connecting to RDS
- Experience migrating complex applications between environments using Informatica deployment groups, folder/XML migration
- Experience working in 24*7 support environments using ITIL processes
- Experience leading onshore/offshore teams and large data migration/product upgrade projects
- Demonstrated experience designing and implementing data platform integration infrastructures using Well-Architected Framework
- Excellent communication, documentation, and problem-solving skills
- Bachelor's degree in Computer Science or a closely-related discipline, or equivalent combination of formal education and experience
- Informatica Professional Certification - Preferred
- Visa sponsorship/support is not anticipated for this position (based on business needs)
Benefits
- The typical base pay range for this role is between $145K - $182K depending on location and experience
- May be eligible for certain discretionary performance-based bonus and/or incentive compensation
- Comprehensive health and wellness benefits
- Retirement plans
- Educational assistance and training programs
- Income replacement for qualified employees with disabilities
- Paid maternity and parental bonding leave
- Paid vacation, sick days, and holidays
- Total Rewards program providing a competitive benefits package
- Hybrid work arrangement: work at MUFG office or client sites four days per week and remote one day
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