Software Data solution Developer at Johnson Controls

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, ADF, Synapse, Snowflake, SQL, Python, Shell, Data Warehousing, Azure Data Lake, Azure Blob, Azure Storage Explorer, Snowpark, Data Modeling, Agile

Industry

Industrial Machinery Manufacturing

Description

Job Title: Software Data solution Engineer Overview 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. Key Responsibilities 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 Qualifications 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. What we offer 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 Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.

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Responsibilities

The role involves designing, developing, and implementing ETL processes to extract, transform, and load data from various sources into data warehouses or databases for reporting and analytics. Key duties include optimizing these processes, collaborating on data requirements, and monitoring ETL job performance.