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Johnson Controls, Inc. is seeking an experienced ETL Developer for the Data Solutions team in Pune. You will design, implement, and manage ETL processes to support reporting and analytics, collaborating with data architects, analysts, and stakeholders.
Ideal candidates have 3–5 years in ETL roles, strong SQL skills, and hands-on experience with ADF, Synapse, Snowflake, and Azure data services. Familiarity with Python/Shell scripting and data warehousing concepts is required.
Johnson Controls is seeking an experiencedETL Developerresponsible for designing, implementing, and managing ETL processes. The successful candidate will work closely with data architects, business analysts, and stakeholders to ensure data is extracted, transformed, and loaded accurately and efficiently for reporting and analytics purposes.
Design, develop, and implement ETL processes to extract data from various sources
Transform data to meet business requirements and load it into data warehouses or databases
Optimize ETL processes for performance and reliability
Collaborate with data architects and analysts to define data requirements and ensure data quality
Monitor ETL jobs and resolve issues as they arise
Create and maintain documentation of ETL processes and workflows
Participate in data modeling and database design
Bachelor’s degree in computer science, Information Technology, or a related field
3 to 5 years of experience as an ETL Developer or similar role
Strong knowledge of ETL tools – ADF, Synapse. Snowflake experience is mandatory. Multi cloud experience is a plus.
Proficient in SQL for data manipulation and querying
Experience with data warehousing concepts and methodologies
Knowledge of scripting languages (e.g., Python, Shell) is a plus
Excellent problem-solving skills and attention to detail
Strong communication skills to collaborate with technical and non-technical stakeholders
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.
Expert level experience with Azure Data Lake, Azure Data Factory, Synapse, Azure Blob, Azure Storage Explorer, snowflake, Snowpark.
Competitive salary and a comprehensive benefits package, including health, dental, and retirement plans.
Opportunities for continuous professional development, training programs, and career advancement within the company.
A collaborative, innovative, and inclusive work environment that values diversity and encourages creative problem-solving.