📋 Job Details at a Glance 📍 Location Coimbatore, Tamil Nadu, India 🏢 Company ShyftLabs 👥 Experience 4+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–₹22 LPA 🏢 Industry Technology 🛠 Key Skills Python PySpark Advanced SQL Databricks AWS Unity Catalog Delta Lake Amazon S3 REST APIs Git Data Engineer – Databricks at ShyftLabs — Full Details & How to Apply ShyftLabs is seeking a Data Engineer – Databricks in Coimbatore, Tamil Nadu, India , offering a competitive salary range of ₹12–₹22 LPA . This role presents a unique opportunity to enhance data processing capabilities within a growing tech company. The demand for Data Engineer – Databricks jobs is surging as organizations increasingly depend on data-driven insights. This role is pivotal for ShyftLabs as it aims to strengthen its data engineering solutions, ensuring that clients receive high-quality data services that drive operational efficiency. Founded in 2015 , ShyftLabs has quickly grown to over 200 employees , establishing itself as a leader in data engineering solutions. The company’s focus on innovation and quality makes it an attractive employer for aspiring data engineers looking to work with cutting-edge technologies. This position is ideal for 2023, 2024, 2025, 2026 graduates with a background in Any Graduate and 4+ years experience . With a salary of ₹12–₹22 LPA , this role offers freshers a chance to kickstart their careers in data engineering. As a Data Engineer, you will work with advanced tools such as Python , PySpark , Advanced SQL , Databricks , and AWS . This role not only enhances your technical skills but also opens doors to career advancement in the tech industry, allowing you to gain invaluable experience in data engineering practices. 📊 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 Data Engineer – Databricks role at ShyftLabs is to design and maintain efficient data pipelines that enhance data accessibility and usability across the organization. Design and maintain scalable ETL and ELT pipelines using Databricks to optimize data flow and processing for various applications. Integrate data from Amazon S3 and REST APIs , ensuring seamless data accessibility and usability for analytics and reporting. Collaborate with data scientists and product teams to deliver production-ready data solutions that meet business requirements. Implement data-quality validation and monitoring, ensuring high standards of data integrity using Python scripts. Take ownership of managing Delta Lake tables, applying Bronze, Silver, and Gold architecture for effective data governance. Document data workflows and processes, facilitating knowledge sharing and compliance across teams. Resolve data-related issues by troubleshooting and providing client-facing support when necessary, utilizing Git for version control. Ownership of data processes directly impacts the quality and accessibility of data solutions, fostering a culture of accountability and excellence at ShyftLabs . Required Skills & Technical Competencies The ideal candidate for the Data Engineer – Databricks position must possess a robust technical skill set to effectively manage data pipelines and ensure data integrity. Technical Skills Python — intermediate to advanced — essential for developing data processing scripts and automating workflows in data engineering tasks. PySpark — intermediate — crucial for handling large datasets efficiently within the Databricks environment, applied daily in data transformations. Advanced SQL — intermediate — used for querying and manipulating data across various databases, ensuring data accuracy and performance. Databricks — advanced — the primary platform for building and managing data pipelines, necessitating familiarity with its features and functionalities. AWS — intermediate — knowledge of Amazon S3 and related services is vital for data storage and retrieval, evaluated through practical assessments. Unity Catalog — intermediate — utilized for managing data access and governance within the Databricks environment. Delta Lake — intermediate — applied for managing data lakes and ensuring data quality through structured architecture. REST APIs — intermediate — used for integrating external data sources into the data pipeline. Git — intermediate — essential for version control and collaboration on data engineering projects. CI/CD — intermediate — implemented for automating deployment processes and ensuring continuous integration of data solutions. When showcasing these technical skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact in data engineering. Eligibility Criteria This role is designed for graduates eager to enter the data engineering field, particularly those with relevant technical skills and project experience. Any graduate is eligible, with a focus on those with a background in computer science or related fields. Batches from 2023 to 2026 are encouraged to apply, as this role is tailored for fresh talent. While 4+ years of experience is preferred, freshers with strong technical skills and relevant projects may also be considered. A minimum academic performance of 60% is expected to ensure a solid foundational knowledge base. Having a GitHub portfolio showcasing relevant projects can significantly enhance candidacy for this role. Documentation & Portfolio Requirements Submit your resume in PDF format, including your educational background, technical skills, and links to relevant projects or your GitHub portfolio. Pro tip: Highlight specific projects in your GitHub portfolio that demonstrate your expertise in Databricks and data pipeline management. Salary for Data Engineer – Databricks at ShyftLabs 💰 Compensation ₹12–₹22 LPA The advertised compensation for the Data Engineer – Databricks role at ShyftLabs is ₹12–₹22 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 Data Engineer – Databricks Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer – Databricks role at ShyftLabs . Recommended Courses & Resources Python — Essential for data manipulation and scripting in data engineering. Advanced SQL — Crucial for querying and managing databases effectively. AWS — Key for cloud-based data solutions and infrastructure management. REST APIs — Important for integrating and accessing data services. KodNest — Provides practical experience with data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to data engineering. ❌ Neglecting practical experience — Showcase your experience with Databricks or similar tools. ❌ Overlooking project documentation — Clearly document your projects and contributions. ❌ Not preparing for technical questions — Be ready for questions on data pipelines and ETL processes. ❌ Submitting a generic cover letter — Address the specific role and company in your cover letter. ❌ Ignoring networking opportunities — Reach out to current employees for insights. Before You Apply — Checklist ✅ Research ShyftLabs to understand its culture and projects before applying. ✅ Tailor your resume to include relevant skills and experiences specific to the role. ✅ Prepare a portfolio showcasing your data engineering projects and relevant work. ✅ Double-check application details for accuracy before submission. ✅ Follow up on your application status after a week to express continued interest. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Practice common interview questions related to data engineering and technical skills. ✅ Network with current or former employees for insights into the company culture. Resume Tailoring & ATS Keywords for Data Engineer – Databricks Optimizing your resume for ATS is crucial for the Data Engineer – Databricks role at ShyftLabs . ATS Keywords to Include Data Engineer Databricks ETL ELT Python PySpark Advanced SQL AWS Delta Lake REST APIs Git CI/CD Resume Tips for This Role Highlight specific projects involving Databricks or data engineering to demonstrate relevant experience. Emphasize teamwork and collaboration skills, particularly in cross-functional settings. Include a portfolio link showcasing relevant data engineering projects or contributions. Optimize for ATS by using keywords from the job description, particularly technical skills. Avoid including unrelated work experience that does not pertain to data engineering. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to data engineering. How to Apply for Data Engineer – Databricks at ShyftLabs Apply Now — ShyftLabs Visit the application portal and create an account. Upload your resume in PDF format, ensuring it highlights relevant skills. Fill out the application form with accurate personal and educational details. After submission, expect an email confirmation regarding your application status. Use the application portal to track the status of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — ShyftLabs NexisGrow.com does not charge any fees for job applications. ShyftLabs Founded in 2015 , ShyftLabs is headquartered in Coimbatore, Tamil Nadu , and has established a global footprint in the data engineering and analytics sector. With a workforce that has grown to over 200 employees , the company serves clients across various industries, showcasing its commitment to innovative data solutions. ShyftLabs specializes in developing advanced ETL/ELT pipelines and data warehousing solutions. Utilizing technologies such as Databricks , AWS , and Delta Lake , the company delivers robust data processing capabilities. Their platforms are designed to optimize data workflows, ensuring clients can leverage their data effectively. The culture at ShyftLabs emphasizes collaboration and continuous learning. The company has received positive feedback on platforms like Glassdoor, where employees highlight the supportive environment and opportunities for professional growth. Additionally, ShyftLabs actively invests in employee development programs, fostering a culture of innovation. Recently, ShyftLabs secured significant funding aimed at expanding its services, particularly in integrating AI into data processing workflows. This initiative reflects the company's forward-thinking approach and its commitment to staying at the forefront of technology trends in data analytics. For freshers in technology, ShyftLabs offers a unique opportunity to work on real-world projects that enhance their skills in data engineering. The hands-on experience gained here provides a solid foundation for a successful career, making ShyftLabs an ideal launchpad for aspiring professionals. Company Details Industry Technology Location Coimbatore, Tamil Nadu, India Connect With Us Careers Apply Now Website 🔗 jobs.lever.co Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer – Databricks at ShyftLabs? Eligibility Tap to expand + Answer Candidates with Any Graduate and 4+ 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: Python, PySpark, Advanced SQL, Databricks, AWS. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–₹22 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at ShyftLabs? 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: Python, PySpark, Advanced SQL, Databricks, AWS. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Engineer – Databricks interview? Preparation Tap to expand + Answer (1) Core concepts of Python, PySpark, Advanced SQL, Databricks, AWS, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) ShyftLabs research, (5) Clear communication. ? What is the work culture like at ShyftLabs? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Coimbatore Browse all Tech jobs Latest Fresher jobs More jobs at ShyftLabs Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com