📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Brillio 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills Problem Solving Communication Skills Basic Computer Knowledge SQL Python Lead Azure Data Engineer at Brillio — Full Details & How to Apply Brillio is seeking a Lead Azure Data Engineer in Bangalore, Karnataka, India , offering freshers a chance to work with cutting-edge Azure technologies. This role is pivotal in shaping data solutions for clients across various industries, making it an excellent entry point into the tech sector. The demand for Azure Data Engineers is surging as companies increasingly migrate to cloud solutions. This specific Lead Azure Data Engineer role at Brillio is critical for driving the company’s growth in digital transformation services, particularly in cloud solutions, which are becoming essential for operational efficiency. Founded in 2014 , Brillio has grown to over 1,000 employees and specializes in delivering innovative digital transformation services. The company’s commitment to leveraging Azure technologies sets it apart in the tech landscape, making Brillio recruitment a sought-after opportunity for aspiring data engineers. We encourage 2022, 2023, 2024, 2025 graduates from any background to apply, especially those with 0-2 years experience . The salary for this position is as per Company Policy , providing a competitive starting point for fresh talent in the industry. In this role, you will develop essential skills in SQL , Python , and problem-solving, while enhancing your communication abilities. This position offers unique exposure to Azure's ecosystem, setting candidates apart from peers in traditional data roles and opening doors to advanced career opportunities in data engineering. 📊 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 Lead Azure Data Engineer at Brillio is pivotal in designing and implementing data pipelines that enhance data flow and transformation, directly impacting business intelligence and decision-making. Design and implement data pipelines using Azure Data Factory to ensure efficient data flow and transformation, leveraging SQL for data integrity. Utilize SQL for querying and managing data, focusing on performance optimization and ensuring data integrity across various datasets. Collaborate with cross-functional teams, including data scientists and business analysts, to align data strategies with business goals, enhancing overall project outcomes. Monitor and analyze data performance metrics to identify areas for improvement and optimization, utilizing Python for data analysis. Take ownership of data quality initiatives, ensuring compliance with data governance standards and enhancing data reliability. Document data processes and workflows to facilitate knowledge transfer and team collaboration, improving operational efficiency. Engage with clients to understand their data needs and provide tailored solutions, enhancing client satisfaction and project success. This role fosters a culture of ownership, allowing you to make a direct impact on data-driven decision-making within Brillio . Required Skills & Technical Competencies The ideal candidate for the Lead Azure Data Engineer role at Brillio should possess a blend of technical and soft skills essential for effective data engineering. Technical Skills Problem Solving — entry — essential for troubleshooting data issues and optimizing data workflows using Azure Data Factory . Communication Skills — entry — crucial for articulating complex data concepts to non-technical stakeholders effectively. Basic Computer Knowledge — entry — necessary for navigating various software tools and platforms used in data engineering. SQL — entry — used daily for data manipulation and retrieval, requiring a working knowledge of database management. Python — entry — applied for scripting and automating data processes, focusing on libraries like Pandas and NumPy . Soft Skills & Professional Competencies Ability to articulate complex data concepts clearly to diverse audiences, enhancing collaboration. Strong analytical mindset to identify data trends and performance metrics for optimization. Proactive engagement with clients to tailor data solutions that meet specific needs. Effective documentation skills to ensure clarity in data processes and workflows. Good to Have (Bonus Skills) Experience with Azure services — unlocks advanced data engineering capabilities and enhances project contributions. Familiarity with data visualization tools like Power BI — aids in presenting data insights effectively. Knowledge of machine learning concepts — provides a competitive edge in developing predictive models. When showcasing these skills in your resume or interview, emphasize specific examples of how you have applied them in practical scenarios. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering, with a focus on foundational skills and knowledge. Any graduate degree is accepted, as diverse educational backgrounds can contribute to innovative data solutions. Eligible batches include 2022 , 2023 , 2024 , and 2025 , reflecting Brillio 's commitment to nurturing fresh talent. No prior experience is required, making this role ideal for freshers eager to start their careers in data engineering. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your portfolio or GitHub to showcase your projects. Pro tip: Tailor your application to highlight specific projects that demonstrate your proficiency in SQL and Python , as these are critical for this role. Salary for Lead Azure Data Engineer at Brillio 💰 Compensation As per Company Policy The advertised compensation for the Lead Azure Data Engineer role at Brillio is As per Company Policy . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Brillio The selection process at Brillio is designed to identify candidates who not only possess the required technical skills but also align with the company's values and culture. 1 Online Assessment — 60 minutes, testing basic SQL and Python skills through multiple-choice questions. 2 Technical Interview — focuses on SQL queries, data structures, and problem-solving scenarios. 3 Behavioral Interview — assesses cultural fit and communication skills through situational questions. 4 HR Interview — discusses salary expectations and company values, with an offer timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Assessment SQL Basics — understanding queries and database management is crucial for this role. — W3Schools Python Fundamentals — familiarity with syntax and basic libraries is essential. — Codecademy Data Structures — knowledge of arrays, lists, and dictionaries will be tested. — GeeksForGeeks Problem Solving Techniques — practice logical reasoning and algorithmic thinking. — HackerRank Round 2: Technical Interview SQL Advanced Queries — focus on joins, subqueries, and performance optimization. — GeeksForGeeks Data Pipelines — understanding Azure Data Factory and its components. — YouTube Data Modeling Concepts — grasp the principles of structuring data for analysis. — Coursera ETL Processes — learn the fundamentals of Extract, Transform, Load workflows. — Udemy Cloud Computing Basics — familiarize yourself with Azure services and architecture. — Microsoft Learn Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences. — MindTools Team Collaboration Scenarios — discuss how you would work with cross-functional teams. — LinkedIn Learning Technical Deep-Dive — be ready to explain your approach to a data engineering problem. — GeeksForGeeks Timeline & Expectations The application to offer timeline typically spans 1-2 weeks , allowing candidates to prepare adequately for each stage. Brillio values thorough preparation; candidates should focus on both technical and soft skills to excel in interviews. Expected Interview Questions for Lead Azure Data Engineer at Brillio These questions are based on the role's actual tech stack and responsibilities. Technical Questions How do you optimize SQL queries for performance? Explain the difference between a clustered and non-clustered index. What is the purpose of Azure Data Factory? How would you handle missing data in a dataset? Describe a Python script you wrote to automate a data task. What are the key components of a data pipeline? Behavioral Questions Describe a time you solved a complex problem in a team setting. How do you prioritize tasks when working on multiple projects? Give an example of a challenging situation you faced and how you overcame it. How do you handle feedback and criticism? Role-Specific Questions What steps would you take to design a data pipeline for a new project? How do you ensure data quality in your work? What tools have you used for data visualization and reporting? Structure your answers using the STAR method to clearly articulate your experiences and thought processes. Resume Tailoring & ATS Keywords for Lead Azure Data Engineer Optimizing your resume for ATS is crucial for this role to ensure it gets noticed by hiring managers. ATS Keywords to Include Azure Data Engineer SQL Python Data Pipeline Data Integration ETL Data Quality Problem Solving Communication Skills Cloud Computing Data Analytics Collaboration Resume Tips for This Role Highlight any relevant projects or internships that demonstrate your data skills. Emphasize your problem-solving abilities with specific examples. Include any coursework or certifications related to SQL or Python. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that doesn't showcase your skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not relate to the job description. About Brillio Founded in 2014 , Brillio is headquartered in Bangalore, Karnataka, India , and has expanded its global footprint across North America, Europe, and Asia. With a workforce of over 1,000 professionals , the company is well-positioned to tackle complex technology challenges on a global scale. Brillio specializes in innovative digital transformation solutions, particularly in cloud computing , data analytics , and artificial intelligence . Their flagship offerings include advanced services in Azure and data integration , enabling businesses to leverage data for strategic decision-making. The company has garnered recognition for its exceptional workplace culture, boasting a Glassdoor rating of 4.5 . Employee satisfaction is a priority, with programs designed to foster engagement and professional growth, making Brillio a desirable place to work. Recently, Brillio secured a strategic partnership with Microsoft to enhance its Azure offerings. This collaboration reflects the company's commitment to leveraging cutting-edge technology and expanding its service capabilities in the cloud domain. For freshers, Brillio serves as a robust career launchpad, offering mentorship and exposure to high-impact projects. The company’s focus on skill development ensures that new employees gain valuable experience in the rapidly evolving tech landscape. Why Join Brillio as Lead Azure Data Engineer? Joining Brillio as a Lead Azure Data Engineer offers a unique opportunity to work with advanced technologies and contribute to transformative projects that shape the future of businesses. Hands-on Experience — Gain practical skills with Azure Data Factory , a critical tool for data integration and transformation in cloud environments. Real-World Learning — Apply SQL and Python in solving complex data challenges for a diverse range of clients, enhancing your technical expertise. Career Advancement — After 1-2 years, explore potential career paths such as Data Architect or Cloud Solutions Engineer , broadening your professional horizons. Collaborative Culture — Experience a work environment that promotes knowledge sharing and innovation, encouraging team members to contribute their ideas. Vibrant Location — Located in Bangalore , the tech hub of India, Brillio provides access to numerous networking and professional growth opportunities. According to NexisGrow.com, the role of a Lead Azure Data Engineer at Brillio not only enhances your technical skills but also positions you at the forefront of digital transformation initiatives. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Lead Azure Data Engineer at Brillio? Eligibility Tap to expand + Answer Candidates with Any Graduate and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: As per Company Policy. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Brillio? 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: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Lead Azure Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Brillio research, (5) Clear communication. ? What is the work culture like at Brillio? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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