Purpose: 

Coordinating incident management, troubleshooting problems, conducting root cause analysis, and supporting system improvements. In addition, collaborating with teams to deliver technical training and ensure smooth operation of critical applications.

 

Key accountabilities and responsibilities

Providing L2 for application issues, diagnosing root causes and implementing resolutions. Coordinating L3 support with resolver groups (e.g. Software Engineer) Collaborating with Service Managers to delivering technical support and troubleshoot incidents and problems with existing applications by analysing system logs and performance data in collaboration with Software Engineers Monitoring performance and proactively identifying problem areas of a system i.e. software bugs, misconfigurations, bottlenecks  Supporting quality assurance testing phase on new applications to ensure they meet industry standards for functionality and usability Conducting root cause analyses for recurring issues, identifying and implementing long-term fixes Advising Software Engineers to correct errors if any and modifying the existing software Interacting in Corporate Systems about the performance of systems and solve their technical issues when relevant Perform reports/dashboards of the apps and vendors for the Management Supporting Corporate Systems teams with the creation of training and knowledge articles Action both autogenerated batch tickets and incoming tickets from end users 

 

Skill Needed: 

PeopleSoft Administrator

Peopletools support Application maintenance Troubleshooting of error Monitoring stability and performance improvements Infrastructure support of Windows and Linux Server Resource Monitoring Server Setup for PeopleTools (Shares/FileSystems etc.) PeopleTools and application Upgrades PUM Upgrades PeopleSoft Application Migrations Peopletools Patching Weblogic support and certificate management Experience with Integration Broker including SOAP & REST Web Services PeopleSoft Migration Support Familiar with Phire Migration tool Setup of Change Assistant for Upgrade and Patch applications Setup and Configure Cobol environment 

 

Austosys Workload Automation 

Setup and modify existing job. Understanding batch processing and dependency analysis. Setup and review of AutoSys calendars. Review impact of application outages on Autosys jobs.

 

PeopleSoft Database Administrator

Performance Monitoring  Creation of SQL profiles Review and Analysis of ASH data Identify problem SQL and provide fix suggestions Index Rebuilds Data Archival Application Migration Support

Job Description: We are searching for a seasoned Databricks Engineer to pioneer advanced Databricks solutions. The Databricks Engineer will serve as a central figure in our data engineering team, delivering highly sophisticated technological solutions using Databricks, Delta Live Tables, Snowflake, and Medallion Architecture.

Key Responsibilities:
Designing, building, and maintaining medallion architecture-based data pipelines in Databricks platforms.
Handling raw data ingestion through Delta Live Tables while ensuring data quality and access latency.
Manage enterprise-level complex data and metadata changes in Databricks environment using delta live tables.
Utilizing knowledge of Snowflake to offer insight into data warehousing and management.
Collaborate with data architects to provide Databricks solutions that align with company objectives.
Work in conjunction with data science teams to implement complex statistical models.
Ensuring data security and compliance in Databricks and Snowflake environments.
Developing and deploying ETL job workflows with an emphasis on automation and scalability.
Keeping up-to-date with industry best practices and emerging trends in Databricks technology.

Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field
Solid experience in Databricks platform, data engineering, and using Delta Live Tables
Experience with medallion architecture in a data lake environment
Proficiency in Snowflake data warehousing platform
Strong understanding of ETL workflows and data pipeline automation.
Exceptional knowledge of data structures, data modeling, and database schemas
Highly skilled in SQL, Python, or Scala.
Experienced in performance tuning, troubleshooting, and debugging in Databricks environment
Outstanding problem-solving abilities, with an innovative approach to tackling complex challenges.
Exceptional communication skills with proven ability to bridge communication gaps between technical and non-technical stakeholders.
Ideal candidates are proactive, collaborative, and passionate about data and Databricks technologies. If you have a desire to be at the forefront of data innovation, we would like to meet you.