📋 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 AWS Lead Data Engineer at Brillio — Full Details & How to Apply Brillio is seeking an AWS Lead Data Engineer in Bangalore, Karnataka, India , offering freshers a chance to work with cutting-edge cloud technologies. This role is perfect for graduates looking to kickstart their careers in data engineering. The demand for cloud computing skills is surging, with AWS leading the market. This makes the AWS Lead Data Engineer role crucial for freshers eager to enter a high-growth field. As companies increasingly rely on data-driven decision-making, the ability to leverage AWS tools becomes a significant asset in the technology sector. Founded in 2014 , Brillio has rapidly grown to over 1,500 employees , specializing in digital transformation services. The company’s commitment to innovation and employee development makes it an attractive employer for aspiring data engineers. Joining Brillio means being part of a culture that values growth and collaboration. This role is open to 2022, 2023, 2024, 2025 graduates , with eligibility for Any Graduate and 0-2 years experience . The salary for this position is As per Company Policy , making it a viable option for fresh talent entering the workforce. As an AWS Lead Data Engineer , you will work with essential skills such as Problem Solving , Communication Skills , Basic Computer Knowledge , SQL , and Python . This role not only enhances your technical expertise but also opens doors to advanced positions in data engineering, setting you apart from peers in traditional data roles. 📊 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 AWS Lead Data Engineer at Brillio is tasked with designing robust data pipelines using AWS S3 and Redshift , ensuring seamless data availability for analytics and reporting. Design and implement data pipelines using AWS S3 and Redshift to ensure data availability, leveraging SQL for efficient data management. Utilize SQL for querying and managing databases, ensuring data integrity and performance metrics are met consistently. Collaborate with the analytics team to understand data requirements, delivering actionable insights through effective communication skills . Monitor data quality metrics to maintain a high Data Quality Score of 90 , ensuring reliability and accuracy in data processing. Take ownership of data engineering projects, driving initiatives from conception to deployment while applying problem-solving skills. Document processes and workflows to facilitate knowledge sharing and enhance team collaboration, ensuring clarity in operations. Engage with clients to troubleshoot data-related issues, applying problem-solving skills effectively to resolve challenges. This role fosters an ownership culture, allowing you to make a direct impact on data-driven decision-making at Brillio . Required Skills & Technical Competencies The ideal candidate for the AWS Lead Data Engineer role should possess a blend of technical and soft skills essential for effective data management and collaboration. Technical Skills Problem Solving — entry — critical for addressing data challenges and optimizing workflows using AWS tools. SQL — entry — essential for data manipulation and retrieval, used daily for database management and ensuring data integrity. Python — entry — utilized for scripting and automation tasks, enhancing efficiency in data processing workflows. Basic Computer Knowledge — entry — necessary for navigating various software and tools used in data engineering. Communication Skills — entry — vital for collaborating with cross-functional teams and presenting data findings effectively. Soft Skills & Professional Competencies Ability to articulate complex data concepts clearly, enhancing collaboration with non-technical stakeholders. Strong analytical mindset to identify trends and anomalies in data, driving informed decision-making. Adaptability to learn new tools and technologies quickly, ensuring alignment with evolving project requirements. Attention to detail in documenting processes, contributing to improved team efficiency and knowledge sharing. Good to Have (Bonus Skills) Familiarity with AWS services — unlocks advanced data engineering capabilities and project opportunities. Experience with data visualization tools — enhances your ability to present data insights effectively. Knowledge of machine learning concepts — positions you for future roles in data science and analytics. When showcasing these skills in your resume or interview, emphasize specific examples of how you've applied them in relevant projects or coursework. Eligibility Criteria This role is designed for recent graduates eager to enter the field of data engineering and contribute innovative solutions at Brillio . Any graduate is eligible, as diverse educational backgrounds can contribute to innovative data solutions. Batches from 2022 to 2025 are encouraged to apply, ensuring fresh perspectives in the team. No prior experience is required, making this role ideal for recent graduates eager to learn. A minimum academic performance of 60% is preferred to demonstrate commitment and capability. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant projects, and any technical skills. Highlight your experience with AWS and data management tools. Pro tip: Tailor your application to highlight specific projects where you utilized SQL or Python , demonstrating your hands-on experience in data engineering. Salary for AWS Lead Data Engineer at Brillio 💰 Compensation As per Company Policy The advertised compensation for the AWS Lead 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 technical skills required but also align with the company's values and culture. 1 Online Assessment — 60 minutes, testing basic programming and SQL skills. 2 Technical Interview — focuses on SQL, Python, and AWS concepts, assessing problem-solving abilities. 3 Behavioral Interview — evaluates cultural fit and communication skills through situational questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1 week . Topic-wise Preparation Guide Round 1: Online Assessment SQL Queries — essential for data retrieval and manipulation, relevant to the role. — W3Schools Python Basics — understanding syntax and functions, crucial for scripting tasks. — Learn Python Data Structures — knowledge of lists, dictionaries, and sets, important for coding efficiency. — GeeksForGeeks AWS Fundamentals — basic concepts of cloud computing and services offered by AWS. — AWS Training Round 2: Technical Interview Advanced SQL — complex queries, joins, and indexing techniques relevant to data engineering. — HackerRank Python Libraries — focus on libraries like Pandas and NumPy for data manipulation. — Coursera AWS Services — in-depth knowledge of S3, Redshift, and Lambda for data processing. — AWS Training Data Modeling — understanding how to structure data for optimal performance. — GeeksForGeeks ETL Processes — familiarity with Extract, Transform, Load methodologies. — freeCodeCamp Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences. — MindTools Team Collaboration — scenarios involving teamwork and conflict resolution. — YouTube Technical Deep-Dive — discussing specific projects or technologies you've worked with. — LinkedIn Learning Timeline & Expectations The application to offer timeline is approximately 1 week , ensuring a swift and efficient hiring process. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with Brillio's values. Expected Interview Questions for AWS Lead Data Engineer at Brillio These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would optimize a SQL query for performance. What are the key differences between S3 and EBS in AWS? How do you handle exceptions in Python? Can you describe a data pipeline you have built? What is normalization in databases? How would you ensure data quality in a data engineering project? Behavioral Questions Describe a time when you faced a challenge in a project and how you overcame it. How do you prioritize tasks when working on multiple projects? Give an example of how you worked effectively in a team. What motivates you to work in data engineering? Role-Specific Questions What steps would you take to design a data pipeline for a new application? How do you ensure data security in your engineering practices? What tools would you use for monitoring data quality? Structure your answers using the STAR method to clearly demonstrate your problem-solving and teamwork skills. Resume Tailoring & ATS Keywords for AWS Lead Data Engineer Optimizing your resume for ATS is crucial for standing out in the selection process. ATS Keywords to Include AWS Data Engineering SQL Python ETL Data Quality Cloud Computing Data Pipelines Problem Solving Communication Skills Data Modeling Collaboration Resume Tips for This Role Highlight relevant projects that showcase your SQL and Python skills. Emphasize teamwork experiences, especially in tech-related projects. Include a link to your GitHub or portfolio demonstrating your coding abilities. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not demonstrate relevant 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 AWS Lead Data Engineer role. About Brillio Brillio was founded in 2014 and is headquartered in Bangalore, Karnataka, India . With a workforce of over 1,500 professionals , the company has established a global presence across North America and Europe . This scale enables Brillio to deliver innovative solutions to a diverse clientele. Specializing in digital transformation solutions , Brillio leverages cutting-edge technologies such as AI , cloud , and analytics to drive business success. Their flagship offerings include cloud migration services and data analytics platforms , which are tailored to meet the unique needs of various industries. The company culture at Brillio is characterized by collaboration and a strong commitment to employee development. Recognized for its workplace environment, Brillio has received positive reviews on Glassdoor , highlighting its mentorship programs and opportunities for professional growth. Recently, Brillio secured a significant funding round aimed at expanding its services in AI and machine learning . This development underscores the company's strong growth potential and commitment to staying at the forefront of technological advancements. For freshers in technology, Brillio offers a unique career launchpad. With hands-on experience in impactful projects, employees can quickly gain valuable skills and insights into the tech industry, setting the stage for a successful career trajectory. Why Join Brillio as AWS Lead Data Engineer? Joining Brillio as an AWS Lead Data Engineer provides a unique opportunity to work with advanced technologies and gain practical experience that is highly sought after in the tech industry. Hands-on AWS Experience — Work directly with AWS , a leading cloud platform, to develop and manage scalable data solutions. Real-World SQL and Python Exposure — Enhance your technical skill set by applying SQL and Python in real-world projects that drive business outcomes. Career Advancement Opportunities — After 1-2 years, transition into roles such as Data Architect or Cloud Solutions Engineer , broadening your career path. Continuous Learning Culture — Benefit from Brillio's commitment to employee development through mentorship and training programs tailored to your growth. Bangalore Tech Hub — Enjoy the vibrant lifestyle and extensive networking opportunities available in Bangalore , a major tech hub in India. According to NexisGrow.com, the role of AWS Lead Data Engineer at Brillio not only enhances your technical skills but also positions you for future leadership roles in the rapidly evolving tech landscape. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AWS Lead 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 AWS Lead 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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