📋 Job Details at a Glance 📍 Location India 🏢 Company UniFocus 👥 Experience 3-8 years 🎓 Qualification Bachelor’s degree in Computer Science, Information Systems or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–₹22 LPA 🏢 Industry Technology 🛠 Key Skills AWS S3 Glue Athena EMR Kinesis SQL Apache Parquet Delta Lake Apache Iceberg Data Engineer at UniFocus — Full Details & How to Apply UniFocus is seeking a Data Engineer in India to enhance their data solutions. With a data quality score of 95 , this role is pivotal in driving data excellence, offering a unique chance to work with cutting-edge technologies. The demand for Data Engineer jobs is surging in the technology sector, as companies increasingly rely on data-driven decisions. This specific role at UniFocus is crucial for optimizing data pipelines, ensuring high-quality data delivery to stakeholders, which is essential for informed decision-making. UniFocus , founded in 2000 , has over 500 employees and specializes in data solutions across various industries, making it a leader in the tech space. The company’s commitment to innovation and quality sets it apart, providing a supportive environment for data engineers to thrive. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science, Information Systems or a related field to apply. Candidates with 3-8 years experience can expect a competitive salary ranging from ₹12–₹22 LPA , making this an attractive role in the India jobs market. In this position, you will gain hands-on experience with essential skills such as AWS , S3 , Glue , Athena , EMR , Kinesis , SQL , Apache Parquet , Delta Lake , Apache Iceberg , Apache Hudi , Apache Flink , Kafka Streams , PySpark , and Apache Airflow . This exposure will not only enhance your technical skills but also open doors for career progression in the rapidly evolving field of 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 core mission of the Data Engineer at UniFocus is to design and implement robust data pipelines that enhance data accessibility and integrity, driving informed decision-making across the organization. Design and develop scalable data pipelines using AWS Glue to ensure efficient data processing and integration with various data sources. Implement data-lake solutions utilizing Apache Hudi for optimized data storage and retrieval, enhancing data accessibility for analytics. Collaborate with the analytics team to translate business requirements into technical solutions using SQL , ensuring accurate data representation. Monitor and optimize data pipeline performance metrics, ensuring a minimum uptime of 99.9% to maintain operational reliability. Take ownership of documenting engineering standards and architectural decisions for future reference, ensuring consistency in data practices. Communicate data governance practices effectively to ensure compliance across teams, fostering a culture of data integrity. Troubleshoot data quality issues in real-time, providing solutions that enhance data integrity and reliability for stakeholders. In this role, you will cultivate an ownership culture, directly impacting the quality and efficiency of data processes that support UniFocus ' strategic goals. Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at UniFocus should possess a strong technical skill profile that aligns with the demands of modern data engineering. Technical Skills AWS — advanced — crucial for managing cloud infrastructure and deploying scalable data solutions. SQL — advanced — essential for querying databases and writing complex queries for data extraction and transformation. Apache Airflow — intermediate — used for workflow orchestration, facilitating the scheduling and monitoring of data pipelines. PySpark — advanced — important for processing large datasets efficiently, requiring proficiency in writing optimized PySpark scripts. Apache Kafka — intermediate — utilized for real-time data streaming, with knowledge of its integration with other tools being beneficial. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for candidates who have a solid educational background and relevant experience in data engineering, ready to contribute to UniFocus ' data initiatives. A Bachelor's degree in Computer Science or Information Systems is required to ensure foundational knowledge in data structures. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply their academic knowledge in a practical setting. Candidates with 3-8 years of experience are preferred, but freshers can apply if they demonstrate relevant skills through internships. A minimum CGPA of 7.0 is preferred to ensure academic competence and analytical skills. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a fresher's application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your technical skills, educational background, and any relevant projects or internships that demonstrate your capabilities. Pro tip: Tailor your application to highlight specific experiences with AWS and SQL , as these are critical for the Data Engineer role at UniFocus . Salary for Data Engineer at UniFocus 💰 Compensation ₹12–₹22 LPA The advertised compensation for the Data Engineer role at UniFocus 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 Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer role at UniFocus . Recommended Courses & Resources AWS — Mastering AWS is crucial for cloud-based data solutions. S3 — Understanding S3 is essential for data storage and retrieval. SQL — SQL skills are vital for querying and managing databases. Apache Parquet — Proficiency in Parquet enhances data processing efficiency. KodNest — This course provides practical insights into data engineering workflows. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume to highlight relevant skills and experiences specific to data engineering. — Customize your resume for the role. ❌ Neglecting to include specific technical tools and languages that are mentioned in the job description. — Ensure all relevant technologies are listed. ❌ Overlooking the importance of showcasing teamwork and collaboration in previous roles. — Highlight collaborative projects. ❌ Submitting a generic cover letter instead of a personalized one that addresses UniFocus directly. — Personalize your cover letter. ❌ Not preparing for technical interviews by practicing relevant coding and problem-solving questions. — Practice coding challenges. ❌ Ignoring the importance of demonstrating a passion for data and technology in the application. — Show your enthusiasm for the field. Before You Apply — Checklist ✅ Research UniFocus and its data engineering projects before applying. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a tailored cover letter that addresses the specific role and company. ✅ Gather any necessary documents, such as transcripts or certificates. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common data engineering interview questions and scenarios. ✅ Follow the application instructions carefully on the UniFocus portal. ✅ Set reminders to track your application status after submission. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for securing an interview for the Data Engineer role at UniFocus . ATS Keywords to Include Data Engineer AWS SQL Apache Airflow PySpark Data Pipelines Data Governance Real-time Processing Data Lakes Apache Kafka Glue Athena Resume Tips for This Role Highlight specific projects that demonstrate your experience with data pipelines and cloud technologies. Emphasize teamwork and collaboration skills, particularly in cross-functional settings. Include links to your GitHub or portfolio showcasing relevant data engineering 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. Pro Tip: Avoid including generic statements that do not add value to your application for this role. How to Apply for Data Engineer at UniFocus Apply Now — UniFocus Visit the UniFocus application portal and create an account. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, paying attention to details. After submission, expect a confirmation email regarding your application status. Track your application through the portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — UniFocus NexisGrow.com does not charge any fees for job applications. UniFocus UniFocus was founded in 2000 and is headquartered in Bangalore, India . With a global presence in over 10 countries , the company employs more than 1,500 professionals dedicated to delivering cutting-edge data solutions. This extensive reach allows UniFocus to cater to a diverse clientele across various industries, enhancing its impact on the global technology landscape. UniFocus specializes in innovative data solutions, including data lakes and data warehouses , designed to meet the unique needs of its clients. The company leverages advanced technologies such as AWS , Apache Spark , and Apache Flink to provide scalable and efficient data management services. These offerings empower businesses to harness their data effectively for strategic decision-making. Recognized for its collaborative culture, UniFocus has received positive reviews on platforms like Glassdoor, highlighting its commitment to employee development. The company offers various professional growth programs, including mentorship and training initiatives, which have contributed to its reputation as a desirable workplace in the technology sector. Recently, UniFocus secured a significant funding round of $10 million , aimed at expanding its technology offerings and enhancing its data capabilities. This investment will enable the company to innovate further and strengthen its position in the competitive data solutions market, ensuring it remains at the forefront of technological advancements. Starting a career at UniFocus provides freshers with a robust foundation in data engineering. The company emphasizes hands-on experience through real-world projects and mentorship, equipping new employees with the skills necessary to thrive in the technology industry. This supportive environment fosters growth and prepares fresh talent for future challenges. Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 unifocus.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at UniFocus? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, Information Systems or a related field and 3-8 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, Athena, EMR. 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 UniFocus? 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, Athena, EMR. ? 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, Athena, EMR, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) UniFocus research, (5) Clear communication. ? What is the work culture like at UniFocus? 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 India Browse all Tech jobs Latest Fresher jobs More jobs at UniFocus 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