Senior Data Engineer at Johnson Controls
Johnson Controls · India
- Salary: ₹9–₹15 LPA
- Experience: 3-5 years
📋 Job Details at a Glance 📍 Location India 🏢 Company Johnson Controls 👥 Experience 3-5 years 🎓 Qualification Bachelor’s Degree in Computer Science, Information Technology or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹9–₹15 LPA 🏢 Industry Technology 🛠 Key Skills ETL Development Azure Data Factory Azure Synapse Snowflake Snowpark Advanced SQL Python Shell Scripting Azure Data Lake Azure Blob Storage Senior Data Engineer at Johnson Controls — Full Details & How to Apply Johnson Controls is seeking a Senior Data Engineer in India , where you can leverage your skills in Azure technologies to optimize data pipelines and enhance performance. This role offers a unique chance to work with cutting-edge tools and contribute to innovative data solutions that drive operational efficiency. The demand for skilled data engineers is surging in India, with companies like Johnson Controls investing heavily in data-driven solutions. As organizations increasingly rely on data analytics, this Senior Data Engineer role is pivotal in shaping the future of technology, ensuring that data management aligns with strategic business goals. Founded in 1885, Johnson Controls has over 100,000 employees globally and is a leader in smart building technologies. This long-standing reputation not only highlights the company's stability but also its focus on fostering a culture of innovation and growth, making it an ideal employer for aspiring data engineers. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s Degree in Computer Science, Information Technology or a related field to apply. Candidates should have 3-5 years experience in relevant fields, with a competitive salary ranging from ₹9–₹15 LPA . This is a valuable opportunity for freshers looking to kickstart their careers in a leading tech company. In this role, you will gain hands-on experience with essential skills such as ETL Development , Azure Data Factory , Snowflake , and Advanced SQL . Working with these advanced tools will not only enhance your technical expertise but also open doors to career advancement in data engineering and analytics, positioning you as a valuable asset in the tech industry. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Senior Data Engineer at Johnson Controls is to design and implement robust data solutions that enhance data integration and quality across various platforms. Design and implement ETL processes using Azure Data Factory to streamline data integration from diverse sources. Utilize Azure Synapse for effective data warehousing solutions, ensuring efficient data storage and retrieval. Collaborate with cross-functional teams, including Data Science and Product Delivery, to align data solutions with business objectives. Monitor and optimize data pipeline performance , aiming for a 20% reduction in processing time through effective troubleshooting. Take ownership of data quality initiatives , ensuring a 95% data quality score is maintained across all data sets. Document data engineering processes and communicate findings to stakeholders to facilitate transparency and knowledge sharing. Resolve client-facing data issues, providing timely solutions to enhance user experience and satisfaction. This role fosters an ownership culture, allowing you to directly impact data quality and integration processes that drive business success. Required Skills & Technical Competencies The skill profile for this role emphasizes advanced technical competencies essential for effective data engineering and integration. Technical Skills ETL Development — advanced — crucial for transforming raw data into actionable insights using Azure Data Factory . Advanced SQL — advanced — essential for querying and managing large datasets, focusing on performance tuning and optimization. Python — advanced — used daily for scripting and automating data processes in data manipulation tasks. Shell Scripting — intermediate — necessary for automating repetitive tasks and managing data workflows efficiently. Azure Data Lake — intermediate — important for storing and analyzing large volumes of data in a secure environment. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in data engineering. A Bachelor's Degree in Computer Science , Information Technology , or a related field is required. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. 3-5 years of experience is preferred, with freshers encouraged to apply if they have relevant internships or projects. A minimum CGPA of 7.0 is preferred to demonstrate academic competence in technical subjects. A portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences, along with links to your portfolio or GitHub for project showcases. Pro tip: Tailor your application to highlight specific experiences with Azure Data Factory and SQL to stand out in the selection process. Salary for Senior Data Engineer at Johnson Controls 💰 Compensation ₹9–₹15 LPA The advertised compensation for the Senior Data Engineer role at Johnson Controls is ₹9–₹15 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Data Engineer Upskilling with the right resources significantly enhances your chances of being selected for the Senior Data Engineer role at Johnson Controls . Recommended Courses & Resources Azure Data Factory — Essential for mastering data integration and ETL processes. Azure Synapse — Crucial for analytics and data warehousing skills. Python — Key programming language for data manipulation and automation. KodNest — Provides hands-on experience with real-world data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume for the specific role — Customize your resume to match the job description. ❌ Failing to quantify achievements in previous roles — Use metrics to showcase your impact. ❌ Not preparing for technical interviews — Practice coding challenges and data engineering scenarios. ❌ Overlooking the importance of soft skills — Highlight communication skills for collaboration. ❌ Submitting applications without proofreading — Check for errors to reflect attention to detail. ❌ Ignoring the significance of a strong LinkedIn profile — Ensure it complements your resume. Before You Apply — Checklist ✅ Research Johnson Controls to understand its culture and values before applying. ✅ Tailor your resume to highlight relevant skills and experiences that match the job description. ✅ Prepare a cover letter that articulates your interest in the role and the company. ✅ Gather any necessary documents, such as transcripts or certifications, to support your application. ✅ Ensure your LinkedIn profile is updated and reflects your resume accurately. ✅ Practice common interview questions related to data engineering and technical skills. ✅ Follow the application instructions carefully to avoid any mistakes during submission. ✅ Set a reminder to check the application status after submission. Resume Tailoring & ATS Keywords for Senior Data Engineer Optimizing your resume for ATS is crucial for securing the Senior Data Engineer position at Johnson Controls . ATS Keywords to Include Senior Data Engineer ETL Development Azure Data Factory Advanced SQL Python Data Pipelines Performance Optimization Job Monitoring Troubleshooting Azure Synapse Snowflake Shell Scripting Resume Tips for This Role Highlight your experience with ETL processes and specific tools like Azure Data Factory to align with job requirements. Emphasize collaborative projects that demonstrate your ability to work with cross-functional teams. Include links to your portfolio or GitHub showcasing relevant data engineering projects. Optimize your resume for ATS by including keywords from the job description, particularly technical skills. Avoid including unrelated work experience that does not demonstrate your data engineering capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do NOT include unrelated work experience that does not showcase your data engineering skills. How to Apply for Senior Data Engineer at Johnson Controls Apply Now — Johnson Controls Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, providing all requested information. After submission, you can expect a confirmation email regarding your application status. Use the application tracking feature to monitor the progress of your application. Applications reviewed on rolling basis — early submission recommended. Apply Now — Johnson Controls NexisGrow.com does not charge any fees for job applications. Johnson Controls Johnson Controls , founded in 1885 , is headquartered in Cork, Ireland , and boasts a significant presence in India with over 100 locations . The company employs approximately 100,000 people globally, showcasing its extensive reach in the technology sector. With operations in over 150 countries , Johnson Controls is a leader in smart building solutions and energy efficiency. Specializing in innovative products, Johnson Controls offers advanced solutions in building management systems, HVAC , and security systems. Key platforms include the Metasys® building management system and OpenBlue , which enhance operational efficiency. These technologies serve diverse industries, including healthcare, education, and manufacturing, ensuring tailored solutions for every client. The workplace culture at Johnson Controls has been recognized with a Glassdoor rating of 4.0 , reflecting high employee satisfaction. The company promotes career development through various programs, including mentorship and training initiatives. Additionally, Johnson Controls has been awarded for its commitment to diversity and inclusion, fostering an environment where all employees can thrive. Recently, Johnson Controls announced a strategic partnership with a leading AI firm to enhance its AI capabilities . This initiative aims to integrate advanced analytics into its product offerings, further solidifying its market leadership. The company is also expanding its operations in India , investing in new technologies to improve energy efficiency solutions. For freshers in technology, Johnson Controls offers a robust career launchpad. With hands-on experience in cutting-edge technologies like Azure Data Factory and Snowflake , new employees can engage in impactful projects. The company’s focus on innovation and employee development ensures that fresh talent can grow and excel in their careers. Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 jci.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Engineer at Johnson Controls? Eligibility Tap to expand + Answer Candidates with Bachelor’s Degree in Computer Science, Information Technology or a related field and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: ETL Development, Azure Data Factory, Azure Synapse, Snowflake, Snowpark. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹9–₹15 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Johnson Controls? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: ETL Development, Azure Data Factory, Azure Synapse, Snowflake, Snowpark. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of ETL Development, Azure Data Factory, Azure Synapse, Snowflake, Snowpark, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Johnson Controls research, (5) Clear communication. ? What is the work culture like at Johnson Controls? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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