India · Staff/Principal
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Sr. Data Engineer / Sr. BI Developer – Data Automation & AI, Data Engineering – Data Analytics – Databricks (Technical) / TIBCO Technical Lead
Expected Work Experience8 to 12 Years
Job LocationIndia | Offshore - Any Mastek Location.
Shift Timing - 3 PM IST - 12:00 AM IST.
Job SummaryLead the offshore engineering pod responsible for analyzing, refactoring, testing, deploying, and stabilizing TIBCO BusinessEvents applications during the 5.5 to 6.4 upgrade, while driving Data Automation & AI and Data Engineering – Data Analytics – Databricks (Technical) initiatives as a Sr. Data Engineer / Sr. BI Developer. Candidate must have relevant experience of 8 to 12 Years.
Key ResponsibilitiesLead the offshore engineering pod responsible for analyzing, refactoring, testing, deploying, and stabilizing BusinessEvents applications during the 5.5 to 6.4 upgrade.
Plan and assign application work by complexity, criticality, wave, environment, and acceptance criteria.
Review scanner findings and remediation for deprecated APIs, legacy syntax, changed classes, channel types, and custom Java extensions.
Enforce engineering quality across DEV, QA, PTEST, PROD, CI/CD deployments, defect resolution, and technical documentation.
Support production cutovers, parallel-run validation, discrepancy analysis, hypercare, sign-off, and controlled 5.5 retirement.
Apply Data Engineering – Data Analytics – Databricks (Technical) expertise to design, build, and optimize data pipelines and analytical solutions.
Contribute to Data Automation & AI initiatives by implementing robust data ingestion, transformation, and automation frameworks aligned with business requirements.
Collaborate with onshore and offshore stakeholders to ensure alignment of BusinessEvents upgrade activities with broader data and analytics objectives.
Provide technical leadership, guidance, and mentoring to the offshore engineering team to ensure consistent delivery quality and adherence to best practices.
Ensure proper documentation of application changes, upgrade impacts, and data engineering workflows to support maintainability and knowledge transfer.
Ability to lead offshore engineering teams with clear allocation of work and accountability across the upgrade lifecycle.
Strong problem-solving skills in analyzing production discrepancies, performance issues, and integration challenges across environments.
Capability to work across Data Automation & AI and Data Engineering – Data Analytics – Databricks (Technical) domains, aligning technical solutions with business outcomes.
Effective communication skills to coordinate with cross-functional teams and stakeholders during cutovers, parallel runs, and hypercare phases.
Attention to detail in reviewing scanner findings, remediation plans, and technical documentation to maintain high engineering standards.
Adaptability to work in a dynamic upgrade program, managing multiple waves, environments, and acceptance criteria concurrently.
TIBCO BusinessEvents 5.x / 6.x.
Java.
EMS.
JDBC.
Rules and decision tables.
Event channels.
Jenkins.
Code review and engineering quality assurance.
Performance tuning and optimization.
Cluster failover and high-availability configurations.
Offshore team leadership and technical mentoring.
Data Engineering – Data Analytics – Databricks (Technical) skills for building and managing scalable data solutions.
Experience in Data Automation & AI, including data workflows, orchestration, and automation frameworks.
Strong understanding of CI/CD pipelines and deployment practices across DEV, QA, PTEST, and PROD environments.
Ability to interpret and remediate scanner findings related to deprecated APIs, legacy syntax, changed classes, channel types, and custom Java extensions.
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