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ServiceMax Data Developer
Johnson Controls is searching for a ServiceMax Data Developer to design, develop, and manage data integration and development processes between ServiceMax, Salesforce, and other enterprise systems. In this role, you will lead the development of data pipelines, integrate field service data, and ensure that the data infrastructure supports the needs of business stakeholders. You will work closely with cross-functional teams, including data analysts, engineers, and business users, to ensure seamless and effective data workflows for field service management.
What you do
Lead the design of data flows between ServiceMax, Salesforce, ERP, and other enterprise applications.
Build data pipelines to support real-time and batch data processing for reporting and analytics.
Optimize and scale data workflows to handle large volumes of field service data while ensuring performance and data accuracy.
Design and implement the data architecture for ServiceMax, ensuring data consistency, accuracy, and quality across systems.
Work with cross-functional teams to define data models, sources, and transformations that support field service operations and reporting needs.
Manage and oversee the data integration process, ensuring that data from various sources is cleansed, transformed, and loaded correctly into the system.
Ensure compliance with data governance, privacy, and security standards.
How will you do it
Develop DB scripts to support specific Salesforce/ServiceMax data migration activities to meet business requirements.
Collaborate with business stakeholders to understand data needs and provide technical solutions to enhance data quality in the ServiceMax platform.
Implement data validation processes and ensure data integrity throughout the lifecycle of ServiceMax deployments.
Work closely with ServiceMax administrators, developers, and data analysts to align data systems with business objectives.
Coordinate with IT and business teams to troubleshoot data-related issues and implement fixes in a timely manner.
Monitor the performance of data workflows and integrations, proactively identifying bottlenecks or issues.
Continuously optimize data processes to ensure fast, reliable access to field service data for reporting and analytics purposes.
What we look for
Required:
Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
5+ years of experience in data activities, with a focus on Salesforce and/or ServiceMax platform.
Strong experience with data integration tools (e.g., Informatica, DM Amp, Snowflake. BI tools) and APIs for connecting different systems.
Strong Experience with SQL and working with relational databases (e.g., MySQL, SQL Server).
Strong knowledge of data transformation, cleansing, and validation processes
Understanding of ServiceMax modules and how they integrate with Salesforce and other enterprise systems is a plus.
Preferred:
Proficiency in programming languages like SQL along with data modelling, ETL processes
Familiarity with field service management KPIs and operational reporting needs.
Experience with advanced data processing technologies (e.g., Hadoop, Spark) or machine learning integration is a plus.
Knowledge of Agile/Scrum methodologies and tools (e.g., Jira, Confluence).
Any certification related to MySQL/Oracle
Salesforce/ServiceMax Certified Administrator is an added advantage
Most IT Jobs posts in Pune ask for 3–6 years of experience (43% of 773 that say).
From live job posts on CoreHRx, updated 5 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹13L – ₹23L a year (typical for IT Jobs in Pune, 53 posts).
The post asks for 5 Yrs experience.
In Pune.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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