09 Nov
|
Merck
|
Bengaluru
Job highlights
- Education: Bachelor of Engineering in Computer Science or a related technical field
- ability to work with large-scale data systems and build scalable solutions from business requirements
Job Summary Your Role: Experience: At least 5 years of IT experience, including 1+ year of hands-on Palantir Foundry development or support. The role involves incident and request management, pipeline operations, troubleshooting and prevention, enhancements and development, applications and use cases, cross-functional delivery and change management, and service improvement to ensure reliable service and continuous improvement.
Responsibilities
- Incident and request management: Own L1/L2 Foundry tickets from intake through resolution. Clarify the issue with the requestor, assess impact and severity, prioritize appropriately, provide timely status updates, and deliver resolution within the applicable SLA; escalate when needed.
- Pipeline operations: Monitor and support a large portfolio of data pipelines. Investigate build and scheduling failures, data-quality issues, schema changes, upstream/downstream dependencies, lineage concerns, and performance bottlenecks.
- Troubleshooting and prevention: Perform root-cause analysis, implement durable fixes, document findings, and help prevent recurrence. Use Foundry health checks, data lineage, and platform diagnostics to restore reliable service.
- Enhancements and development: Clarify enhancement and development requests with stakeholders, translate business needs into scalable technical solutions, and build or improve Foundry pipelines and data transformations.
- Applications and use cases: Develop and maintain user-facing solutions using Foundry Workshop, Slate, or comparable tools where appropriate, helping simplify workflows and reduce manual effort.
- Cross-functional delivery and change management: Coordinate with Engineering and other cross-functional teams to resolve issues and deliver approved changes.
Follow the established change-management process and communicate plans, progress, risks, and outcomes to requestors.
- Service improvement: Support the definition, tracking, and reporting of service KPIs, using operational insights to identify opportunities to improve team performance and service quality.
Requirements
- Experience: At least 5 years of IT experience, including 1+ year of hands-on Palantir Foundry development or support.
- Programming and data processing: Robust Python, PySpark, and SQL skills; experience with Spark/Spark SQL, Pandas, distributed processing, and production-grade transformations at scale.
- Foundry: Hands-on experience with Code Repositories, Pipeline Builder, Ontology, data lineage, scheduling, and health checks.
- Data engineering: Experience with ETL/ELT, data transformation, data management, and data modelling; ability to work with large-scale data systems and build scalable solutions from business requirements.
- Production support: Demonstrated ability to troubleshoot build failures, data-quality problems, schema changes, performance issues, and pipeline dependencies; experience with incident, problem, and request management and SLA-driven support.
- Delivery practices: Familiarity with CI/CD, DevOps principles, and Infrastructure as Code (for example, AWS CloudFormation or Terraform).
- Additional capabilities: Strong communication and stakeholder-coordination skills.
Qualifications
- Education: Bachelor of Engineering in Computer Science or a related technical field.
- Additional platforms: AWS cloud experience is an advantage; exposure to Snowflake or Databricks is also beneficial.
- Application development: Experience with Foundry Workshop, Slate, or comparable data applications is an advantage.
- Service improvement: Experience defining, tracking, or reporting team KPIs and using metrics to improve service quality.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Sr. Analyst (Bengaluru)
🏢 Merck
📍 Bengaluru