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Johnson Controls is seeking an experienced ETL Developer to design, implement, and manage ETL processes for reporting and analytics. The successful candidate will collaborate with data architects, analysts, and stakeholders to ensure data is extracted, transformed, and loaded accurately and efficiently.
The role requires 3–5 years of ETL experience, strong knowledge of Azure Data Lake, Azure Data Factory, Synapse, Snowflake, and SQL.
Johnson Controls is seeking an experienced ETL Developer responsible 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.