📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Koch Inc. 👥 Experience 2+ years 🎓 Qualification Bachelor's degree in Computer Science, Information Technology, or a related quantitative discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹7.0 – ₹12.5 LPA 🏢 Industry Technology 🛠 Key Skills AWS S3 Glue Redshift Lambda Step Functions IAM SQL Python PySpark Data Engineer at Koch Inc. — Full Details & How to Apply Koch Inc. is seeking a Data Engineer in Bengaluru, Karnataka, India to architect cloud data pipelines. With a focus on AWS technologies, this role offers a unique chance to influence data-driven decision-making. The demand for skilled data engineers is surging as companies increasingly rely on cloud-based solutions for data management and analytics. This specific Data Engineer role at Koch Inc. is pivotal in supporting business stakeholders by enabling efficient data processing and analytics, thereby enhancing operational efficiency. Koch Inc. , founded in 1970 , has a global presence with over 130,000 employees , specializing in diverse technology solutions. The company’s focus on innovation makes it an attractive employer for aspiring data engineers looking to grow their careers. This position is ideal for 2023, 2024, 2025, 2026 graduates with a Bachelor's degree in Computer Science, Information Technology, or a related quantitative discipline . Candidates should have 2+ years experience in relevant fields, with a competitive salary ranging from ₹7.0 – ₹12.5 LPA . In this role, you will gain hands-on experience with advanced technologies such as AWS , S3 , Glue , Redshift , Lambda , Step Functions , SQL , Python , PySpark , Delta Lake , and Docker . This exposure will not only enhance your technical skills but also open doors to senior data roles or cloud architecture positions in the future. 📊 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 at Koch Inc. is to design and implement robust cloud data pipelines that enhance data accessibility and integrity, driving informed decision-making across the organization. Design and implement cloud data pipelines using AWS Glue and Lambda to automate data workflows, ensuring efficient data processing. Utilize SQL and Python to develop data models and perform complex queries for analytics, enhancing data-driven insights. Collaborate with data scientists and business analysts to ensure data quality and accessibility, leveraging Redshift for optimized data storage. Monitor data pipeline performance metrics to optimize efficiency and reliability, utilizing CloudWatch for real-time monitoring. Take ownership of data documentation and reporting processes to maintain transparency, using GitHub for version control. Communicate technical concepts to non-technical stakeholders to facilitate data-driven decisions, ensuring clarity in presentations. Troubleshoot data issues and provide solutions to enhance data integrity and availability, employing PySpark for data processing tasks. This role fosters an ownership culture, allowing you to make a direct impact on data workflows and contribute significantly to the organization’s success. Required Skills & Technical Competencies The Data Engineer role requires a diverse skill set to effectively manage and optimize data workflows, ensuring high-quality data for analytics. Technical Skills AWS — advanced — essential for managing cloud infrastructure and services, particularly using S3 for data storage. SQL — advanced — critical for querying and managing relational databases, expected to be used daily in data manipulation. Python — advanced — utilized for scripting and automation tasks, essential for building data processing applications. Delta Lake — intermediate — pivotal for managing large-scale data workflows, ensuring data reliability. Delta Live Tables — intermediate — used for real-time data processing and analytics. GitHub — intermediate — important for version control and collaboration on data projects. Power BI — intermediate — utilized for data visualization, enabling effective presentation of analytical insights. Soft Skills & Professional Competencies Strong communication skills to effectively convey technical information to diverse teams, ensuring alignment on data initiatives. Analytical thinking to troubleshoot data issues and provide effective solutions, enhancing overall data integrity. Attention to detail in monitoring data pipeline performance metrics, ensuring high reliability and efficiency. Collaboration skills to work effectively with data scientists and business analysts, fostering a cohesive data environment. Good to Have (Bonus Skills) Experience with Docker to facilitate containerization of applications, enhancing deployment efficiency. Knowledge of Kubernetes for orchestrating containerized applications, providing scalability and management. Familiarity with Microsoft Fabric for integrating data services and analytics. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world scenarios. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in data engineering and analytics. A Bachelor's degree in Computer Science , Information Technology , or a related quantitative discipline is required. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. Candidates should have 2+ years of relevant experience, focusing on cloud data engineering and analytics. A minimum CGPA of 7.0 is preferred to demonstrate academic proficiency in technical subjects. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance candidacy. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your GitHub or portfolio that showcase your projects and contributions. Pro tip: Tailor your application to emphasize your experience with AWS and SQL , as these are critical for this role. Salary for Data Engineer at Koch Inc. 💰 Compensation ₹7.0 – ₹12.5 LPA The advertised compensation for the Data Engineer role at Koch Inc. is ₹7.0 – ₹12.5 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Koch Inc. The selection process for the Data Engineer role at Koch Inc. is designed to assess both technical and interpersonal skills, ensuring a well-rounded candidate fit. 1 Online Technical Assessment — 60 minutes, testing SQL and Python coding skills. 2 Technical Interview — in-depth discussion on AWS services, data modeling, and problem-solving scenarios. 3 Behavioral Interview — assessing teamwork, communication, and cultural fit within Koch Inc. 4 HR Interview — discussing salary expectations and offer timeline, typically within one week post-interview. Topic-wise Preparation Guide Round 1: Online Technical Assessment SQL queries — essential for data manipulation and retrieval, relevant to the role. — LeetCode Python programming — focusing on data processing and automation tasks. — Khan Academy Data structures and algorithms — foundational knowledge for efficient coding. — GeeksForGeeks Cloud services fundamentals — understanding AWS architecture and services. — AWS Training Round 2: Technical Interview AWS services — in-depth knowledge of S3, Glue, and Redshift. — AWS Training Data modeling techniques — understanding how to structure data for analytics. — GeeksForGeeks Delta Lake architecture — familiarity with managing large datasets. — Databricks Real-time data processing — concepts related to Lambda and Step Functions. — AWS Training Version control systems — proficiency in GitHub or GitLab for collaboration. — Codecademy Round 3: Behavioral Interview Behavioral questions — using the STAR method to demonstrate problem-solving skills. Team collaboration scenarios — to assess interpersonal skills. Technical deep-dive — into a recent project or experience related to data engineering. Timeline & Expectations The typical timeline from application to offer is approximately 2-3 weeks , depending on candidate availability and scheduling. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with Koch Inc.'s values. Expected Interview Questions for Data Engineer at Koch Inc. These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would use AWS Glue for ETL processes. What are the advantages of using Delta Lake over traditional data lakes? How do you optimize SQL queries for performance? Describe your experience with containerization using Docker. What is your approach to data quality assurance? Can you explain the role of IAM in AWS security? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when working on multiple projects? Give an example of a time you had to communicate complex information to a non-technical audience. How do you handle feedback and criticism in a team setting? Role-Specific Questions What strategies would you implement to ensure data integrity in cloud pipelines? How do you approach troubleshooting data discrepancies? Explain how you would design a data pipeline for a new product launch. Structure your answers using the STAR method to clearly articulate your thought process and problem-solving skills. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Engineer AWS SQL Python PySpark Delta Lake Glue Redshift Lambda Docker Kubernetes Power BI Resume Tips for This Role Highlight relevant projects that demonstrate your experience with AWS and data engineering. Emphasize teamwork and collaboration skills, as they are crucial for this role. Include links to your GitHub or portfolio showcasing your coding skills and projects. Optimize your resume for ATS by using keywords from the job description. 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. Do not include irrelevant skills or experiences that do not align with the data engineering role. About Koch Inc. Koch Inc. was founded in 1970 and has expanded its operations to over 130,000 employees worldwide. With its headquarters in Bengaluru, Karnataka, India , the company has established a significant global footprint, providing technology solutions across multiple continents. The core offerings of Koch Inc. include innovative cloud solutions such as AWS services, data analytics platforms, and management tools. Notably, products like Redshift and Glue are integral to its data engineering services, catering to various industries including finance, healthcare, and retail. Koch Inc. has received numerous accolades for its workplace culture, ranking among the top companies on Glassdoor for employee satisfaction. The company actively promotes employee development through programs that encourage skill enhancement and career growth, fostering a supportive environment for all staff. Recently, Koch Inc. has expanded its cloud services portfolio by integrating advanced technologies such as Microsoft Fabric and Power BI . This strategic initiative aims to enhance its offerings in data management and analytics, positioning the company as a leader in technological innovation. For freshers in technology, Koch Inc. serves as a robust career launchpad. The company provides comprehensive training in data engineering, equipping new hires with essential skills and paving the way for future leadership roles within the tech industry. Why Join Koch Inc. as Data Engineer? Joining Koch Inc. as a Data Engineer offers unparalleled opportunities to develop expertise in cutting-edge technologies and cloud services that are pivotal in today’s data-driven world. Hands-on Experience — Gain practical knowledge of AWS services like S3 , Glue , and Redshift , essential for modern data engineering roles. Advanced Data Technologies — Work with Delta Lake and Delta Live Tables , enhancing your skills in data architecture and real-time analytics. Career Growth — After just 1-2 years, you can explore career paths such as Senior Data Engineer, Cloud Architect, or Data Analytics Lead, ensuring a clear trajectory for advancement. Collaborative Culture — Experience a work environment that emphasizes cross-functional teamwork and innovation, fostering creativity and collaboration among peers. Vibrant Location — Located in Bengaluru , the role offers access to thriving tech hubs and a flexible work environment that supports work-life balance. According to NexisGrow.com, starting your career at Koch Inc. as a Data Engineer not only provides essential technical skills but also opens doors to leadership opportunities in the evolving tech landscape. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Koch Inc.? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in Computer Science, Information Technology, or a related quantitative discipline and 2+ 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: AWS, S3, Glue, Redshift, Lambda. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹7.0 – ₹12.5 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Koch Inc.? 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: AWS, S3, Glue, Redshift, Lambda. ? 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 interview? Preparation Tap to expand + Answer (1) Core concepts of AWS, S3, Glue, Redshift, Lambda, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Koch Inc. research, (5) Clear communication. ? What is the work culture like at Koch Inc.? 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 Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Koch Inc. 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