Senior Analyst, HR Lakehouse / Medallion Engineer

Johnson & Johnson Co.

Bengaluru

Hybrid

INR 1,800,000 - 3,000,000

Full time

8 days ago

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Job summary

Johnson & Johnson in Bengaluru (India) seeks a Senior Analyst for HR Lakehouse/Medallion Engineer. Location: India - Bangalore (On-site/Hybrid). Reports to IT Director, D&I Program Leader. Department: CBT.

The role supports daily HR2030 Medallion lakehouse operations, data ingestion, processing, and availability across Bronze, Silver, and Gold layers. Strong troubleshooting, collaboration, and data reliability are essential.

Qualifications

Bachelor’s degree required in CS/IT/Data Eng/Analytics/Engineering or related field.
5+ years of experience in data engineering, data-platform operations, production support, or related field with hands-on data pipelines.
Experience monitoring and troubleshooting production ingestion and transformation pipelines, managing dependencies, and validating recovery.
Strong SQL skills and Python or similar scripting for troubleshooting and automation.
Understanding of lakehouse/Medallion architecture (Bronze/Silver/Gold) and data-quality controls.
Experience with incident, problem, and change management; prioritization by business impact.
Strong communication, documentation, and cross-team collaboration.
Familiarity with cloud data platforms, pipeline orchestration/monitoring tools, version control; HR data privacy knowledge advantageous.

Responsibilities

Monitor Medallion pipeline schedules across Bronze/Silver/Gold; identify missed loads and failures.
Investigate alerts and incidents; perform reruns, restarts, and recovery procedures with validated results.
Perform data-quality checks and reconciliation; log exceptions and coordinate remediation.
Manage daily support queue; prioritize requests by business impact; perform data reloads and maintenance.
Adhere to data privacy, security, and retention requirements; maintain runbooks and evidence.
Support release readiness checks, testing, and deployment validation for pipeline changes.

Skills

Analytical reasoning

Coaching

Communication

Cross-functional collaboration

Demand forecasting

Human-Computer Interaction

Persistence and tenacity

Product costing

Product development

Product strategies

Quality assurance

Research and development

Researching

Software development management

Technical credibility

Technologically savvy

Education

Bachelor’s degree in Computer Science/Information Technology/Data Engineering/Analytics/Engineering or related field

Tools

SQL

Python

Version control

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Technology Product & Platform Management

Job Sub Function

Technical Product Management

Job Category

Scientific/Technology

All Job Posting Locations

Bangalore, Karnataka, India

Job Description

Senior Analyst, HR Lakehouse / Medallion Engineer

Location: India - Bangalore (On-site/Hybrid)

Reports to: IT Director, D&I Program Leader

Department: Johnson & Johnson Technology - Corporate Business Technology (CBT)

Position Summary

The Senior Analyst will support the day-to-day operations of the HR2030 Medallion lakehouse, helping ensure reliable data ingestion, processing, and availability across Bronze, Silver, and Gold layers. This hands‑on role will monitor scheduled pipelines, investigate failures and data‑quality issues, execute approved recovery and maintenance activities, and coordinate timely resolution with engineering, platform, source‑system, and data‑product teams. The successful candidate will combine technical troubleshooting skills with disciplined operational practices, clear communication, and a strong focus on data reliability, security, and continuous improvement in a global support environment.

Key Responsibilities

Daily operations monitoring: Monitor Medallion pipeline schedules, execution status, dependencies, and data freshness across Bronze, Silver, and Gold layers; identify missed loads, delays, and processing failures.
Incident triage and recovery: Investigate alerts and operational incidents using logs and data checks; execute approved reruns, restarts, and recovery procedures, validate results, and upscale unresolved issues against agreed service targets.
Data-quality checks and reconciliation: Perform routine completeness, accuracy, duplication, and source-to-target reconciliation checks; log exceptions, coordinate remediation, and confirm data readiness for downstream consumption.
Service requests and maintenance: Manage the daily support queue, prioritize requests by business impact, and perform approved data reloads, backfills, and routine maintenance following established controls and runbooks.
Operational controls: Follow HR data privacy, security, access, and retention requirements; maintain execution evidence and coordinate access requests through approved processes.
Release and change support: Support operational readiness checks, testing, and deployment validation for pipeline changes; confirm monitoring, support documentation, recovery procedures, and handover are in place.
Upstream and downstream coordination: Work with source-system owners, engineering teams, and data-product consumers to resolve feed issues, schema changes, and dependency failures; communicate expected recovery times and business impacts.
Operational reporting and handovers: Maintain daily service-health updates, incident records, and shift handovers for India/US teams; track pipeline success, data freshness, incident ageing, resolution times, and recurring issues.
Reliability and continuous improvement: Support root-cause analysis, implement approved corrective actions, automate repeatable checks, and identify performance and resource-usage improvements to reduce recurring incidents and manual effort.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Analytics, Business Analytics, Engineering, or a related field.
5+ years of experience in data engineering, data-platform operations, production support, or a related discipline, including hands‑on support of scheduled data pipelines.
Experience monitoring and troubleshooting production ingestion and transformation pipelines, managing dependencies, and validating recovery from failed or delayed processing.
Strong SQL skills and working proficiency in Python or a comparable scripting language for troubleshooting, reconciliation, and automation of operational checks.
Practical understanding of lakehouse and Medallion architecture, including Bronze, Silver, and Gold processing, incremental loads, schema changes, and data-quality controls.
Experience with incident, problem, and change management; ability to prioritize by business impact, follow runbooks, maintain support records, and work against agreed service targets.
Strong written and verbal communication skills, with the ability to explain service impacts, provide clear incident updates, and document troubleshooting and recovery procedures.
Demonstrated collaboration, attention to detail, accountability, and ability to work across global teams and time zones.
Experience with cloud data platforms, pipeline orchestration and monitoring tools, version control, and controlled deployments is preferred; familiarity with HR data privacy and security requirements is an advantage.

Preferred Skills