📋 Job Details at a Glance 📍 Location Hyderabad, Telangana 🏢 Company LiveRamp 👥 Experience 4+ Years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills SQL Python DBT Fivetran Airflow GCP BigQuery Snowflake AWS Redshift Azure Synapse Data Engineer at LiveRamp — Full Details & How to Apply LiveRamp is seeking a skilled Data Engineer to join their innovative team in Hyderabad . This role offers a unique opportunity to shape data solutions in a leading technology firm. As the demand for data-driven decision-making continues to surge, the significance of a Data Engineer has never been more pronounced, making this position vital for any tech-forward company. In today's rapidly evolving technology landscape, the role of a Data Engineer is crucial for transforming raw data into actionable insights. Organizations are increasingly relying on data to drive their strategies, and the ability to efficiently process and analyze this data is paramount. With the rise of big data technologies and cloud-based solutions, the need for skilled Data Engineers has skyrocketed, positioning this role as a cornerstone in the tech industry. As a Data Engineer at LiveRamp , you will play a pivotal role in enhancing data processing capabilities, enabling better decision-making across various business units. LiveRamp stands out as a leader in data connectivity, offering a vibrant work environment that fosters innovation and collaboration. The company is committed to empowering its employees, providing them with the tools and resources needed to excel. With a focus on professional development and a culture that encourages creativity, LiveRamp is an exciting place for data professionals to thrive. The company’s emphasis on cutting-edge technologies and methodologies ensures that you will be at the forefront of industry advancements. This opportunity is ideal for both fresh graduates and experienced professionals looking to advance their careers in a cutting-edge technology environment. Candidates should possess a B.Tech, MCA, or equivalent degree and be part of the 2023, 2024, 2025, or 2026 graduating classes. With a focus on innovation and growth, LiveRamp is seeking individuals who are eager to contribute to transformative data solutions. As a Data Engineer at LiveRamp , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will have the opportunity to work with cutting-edge tools such as SQL , Python , DBT , Fivetran , Airflow , GCP BigQuery , Snowflake , AWS Redshift , and Azure Synapse . This hands-on experience will not only enhance your technical skills but also prepare you for future challenges in the data engineering domain. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you are ready to take the next step in your career, apply online for the Data Engineer position at LiveRamp today! Job Role & Responsibilities The role of a Data Engineer at LiveRamp is pivotal in shaping the data infrastructure that supports analytics and business intelligence. As part of a dynamic team, you will design and implement robust data pipelines that enhance data accessibility and integrity across various platforms. Design and implement robust data pipelines to ensure seamless data flow across various platforms, enhancing data accessibility for analytics. Utilize SQL , Python , and tools like DBT and Fivetran to transform and load data into cloud environments such as GCP BigQuery and Snowflake . Collaborate with data scientists and analysts to understand data requirements, ensuring that engineering solutions meet analytical needs. Monitor and optimize data processing workflows , aiming for efficiency and reliability, with a focus on key performance metrics. Take ownership of projects from conception to deployment, fostering a culture of continuous improvement and innovation within the team. Document data processes and workflows clearly, ensuring that team members can easily understand and utilize the systems in place. Proactively identify and resolve data quality issues , employing problem-solving skills to enhance data integrity and reliability. Engage in regular code reviews and knowledge-sharing sessions, contributing to the overall growth of the data engineering team. This role emphasizes a strong ownership culture, where you will have the opportunity to lead projects that significantly impact the organization’s data strategy and analytics capabilities. Required Skills & Technical Competencies We are seeking a candidate with a comprehensive skill profile that combines technical expertise and collaborative abilities. The ideal Data Engineer will be proficient in various tools and technologies essential for effective data management and transformation. Technical Skills SQL (Advanced) — essential for querying and managing data efficiently, serving as a cornerstone skill for this role. Python (Intermediate to Advanced) — crucial for scripting and automating data processes, allowing for scalable and efficient data manipulation. DBT (Intermediate) — used for transforming data in the warehouse, ensuring data quality and consistency. Fivetran (Intermediate) — utilized for seamless data integration from various sources into cloud environments. Airflow (Intermediate) — employed for orchestrating complex data workflows and ensuring timely data processing. GCP BigQuery (Intermediate) — leveraged for analyzing large datasets quickly and efficiently in the cloud. Snowflake (Intermediate) — used for data warehousing, providing scalable storage and analytics capabilities. AWS Redshift (Intermediate) — utilized for data storage and analytics, ensuring high performance and scalability. Soft Skills & Professional Competencies Strong communication skills — vital for collaborating with cross-functional teams and conveying technical concepts to non-technical stakeholders. Structured problem-solving — ability to break down complex data challenges into actionable steps. Time management — essential for prioritizing tasks and meeting project deadlines effectively. Team collaboration — fostering a cooperative environment to achieve common goals. Good to Have (Bonus) Azure Synapse — familiarity with this platform can enhance data integration capabilities. Data visualization tools — experience with tools like Tableau or Power BI is a plus. Machine learning basics — understanding of ML concepts can be advantageous for data-driven decision-making. To effectively showcase these skills in your resume or during an interview, focus on specific projects or experiences that highlight your proficiency in the required technologies and your ability to collaborate with teams. Eligibility Criteria This role is designed for candidates who are passionate about data engineering and possess the necessary qualifications and experience. We welcome applications from individuals eager to contribute to the innovative environment at LiveRamp . Candidates must hold a degree in any field , with a preference for those with a background in computer science , engineering , or related disciplines. Eligible batches: 2023, 2024, 2025, and 2026 passouts. Experience of 4+ years in data engineering or related fields is required. A minimum CGPA of 7.0 is preferred, emphasizing the importance of academic performance. Prior internship or hands-on project experience is a strong advantage. Candidates are encouraged to showcase relevant projects or portfolios on platforms like GitHub to strengthen their application. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your technical skills and relevant experiences. Include links to your GitHub or personal portfolio showcasing your projects, as well as any relevant certifications that demonstrate your expertise in data engineering. Pro Tip: Tailor your application to highlight specific projects that align with the responsibilities of the Data Engineer role at LiveRamp to improve your success rate. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at LiveRamp emphasizes providing a competitive salary that aligns with industry standards for the role of Data Engineer . Although the salary for this position is Not Disclosed , LiveRamp is recognized for offering robust compensation packages that include various benefits aimed at enhancing employee satisfaction and well-being. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Wellness Programs — initiatives designed to support employee health and well-being Training Programs — opportunities for professional development through certifications and mentorship Flexible Work Hours — options for hybrid work to promote a healthy work-life balance Performance Reviews — regular assessments to facilitate career advancement and salary growth Additional Perks & Benefits Meal Allowances — financial support for daily meals Transportation Support — assistance with commuting costs Stock Options — potential equity in the company as part of the compensation package Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Internal Mobility Options — pathways for career advancement within LiveRamp Career Progression & Salary Growth The appraisal cycle at LiveRamp typically occurs annually, with raises generally ranging from 5% to 15% based on performance. Promotions are encouraged through clear pathways and regular feedback, allowing employees to advance their careers rapidly. NexisGrow.com tip: Always research industry standards for Data Engineer salaries to negotiate effectively during the offer stage. Selection Process At LiveRamp , the hiring philosophy focuses on identifying candidates who not only possess the necessary technical skills for the Data Engineer role but also align with the company’s core values. The selection process is designed to ensure a thorough evaluation of both technical and cultural fit. 1 Round 1: Initial Screening Interview — focusing on resume details and basic technical knowledge relevant to data engineering. 2 Round 2: Technical Assessment — involving practical exercises or case studies to evaluate problem-solving and coding skills. 3 Round 3: Final Interview — with team leads or managers to assess cultural fit and alignment with LiveRamp 's values. 4 Final Offer Stage — includes a background check and discussions around compensation and benefits. What Each Round Tests Round 1 primarily assesses your communication skills and basic technical knowledge. Round 2 focuses on your problem-solving abilities through practical coding challenges. Round 3 evaluates your fit within the team and your alignment with LiveRamp 's mission and values. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with LiveRamp 's products and services, as well as common data engineering challenges, to prepare effectively. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at LiveRamp? Eligibility Tap to expand + Answer Candidates must have a degree in any field, with a preference for tech-related disciplines, and 4+ years of experience in data engineering. ? What is the interview process for Data Engineer at LiveRamp? Interview Tap to expand + Answer The interview process includes an initial screening, a technical assessment, and a final interview focusing on cultural fit and technical expertise. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with SQL, Python, DBT, Fivetran, Airflow, and cloud platforms like GCP BigQuery and Snowflake. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While the salary is not disclosed, LiveRamp offers competitive compensation packages and performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Hyderabad, with potential hybrid work options based on team needs. ? What is the career growth path after joining LiveRamp as a Data Engineer? Growth Tap to expand + Answer Expect a structured growth roadmap with opportunities for promotions and internal mobility within 6-12 months. ? How should I prepare for the Data Engineer interview at LiveRamp? Preparation Tap to expand + Answer Focus on brushing up on SQL and Python, and practice problem-solving with data engineering scenarios relevant to the tech stack. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills and projects in data engineering. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period during which performance is evaluated to ensure a good fit within the team. ? What is the work culture like at LiveRamp? Culture Tap to expand + Answer LiveRamp fosters a collaborative and inclusive culture, emphasizing continuous learning and team collaboration. 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