Data Engineer at Solvative

📋 Job Details at a Glance 📍 Location Ahmedabad, India / Dallas, TX (Remote) 🏢 Company Solvative 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8 – ₹15 LPA 🏢 Industry Technology 🛠 Key Skills SQL Python Scala Java ETL ELT Airflow dbt Dagster Luigi Data Engineer at Solvative — Full Details & How to Apply Solvative is seeking a talented Data Engineer to join our innovative team. This role offers a unique opportunity to shape data-driven solutions in a dynamic technology environment . As a Data Engineer at Solvative , you will play a pivotal role in transforming raw data into actionable insights, a critical function in today’s data-centric world. In the ever-evolving landscape of technology, the demand for skilled Data Engineers is surging. Companies are increasingly reliant on data to drive decision-making, making this role essential for any tech-driven organization. As businesses strive to harness the power of big data, the expertise of a Data Engineer becomes invaluable. With a focus on building robust data pipelines and ensuring data quality, this position is not just about coding; it's about creating a foundation for data analytics and business intelligence. Solvative stands out as a forward-thinking company that fosters innovation and collaboration. With a commitment to leveraging cutting-edge technologies such as AWS , GCP , and Snowflake , Solvative provides an environment where Data Engineers can thrive. The company’s culture emphasizes continuous learning and professional development, making it an exciting place for Data Engineers to contribute meaningfully to projects that impact various departments across the organization. This opportunity is ideal for both fresh graduates and candidates with up to 2 years of experience . We encourage applications from individuals with a B.Tech, B.E., MCA, or M.Tech degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline. Eligible batches include 2023, 2024, 2025, and 2026 passouts. Candidates should ideally have a minimum of 60% aggregate in academics, and prior internship or hands-on project experience is a strong advantage. As a Data Engineer at Solvative , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will have the opportunity to work with advanced tools like dbt , Airflow , and Docker , enhancing your technical skill set and preparing you for future career advancements. This role not only allows you to contribute to significant projects but also positions you for rapid career growth in a field that is constantly evolving. 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 as a Data Engineer at Solvative , apply online today! Job Role & Responsibilities The role of a Data Engineer at Solvative is crucial for enhancing our data infrastructure and ensuring the seamless flow of data across various systems. You will be at the forefront of designing and implementing robust data pipelines that support our analytics and reporting needs. Design and implement robust data pipelines that ensure the seamless flow of data across various systems, enhancing Solvative's data infrastructure. Utilize tools like Apache Airflow and dbt to orchestrate ETL processes, ensuring data integrity and availability for analytics and reporting. Collaborate with data scientists and analysts to understand data needs, translating them into technical requirements and actionable solutions. Monitor and optimize data processing workflows , aiming for efficiency and scalability, while tracking performance metrics to ensure high-quality outputs. Take ownership of data quality initiatives , implementing best practices and tools to maintain data accuracy and reliability across all platforms. Document data processes and workflows meticulously, ensuring clear communication and knowledge sharing within the engineering team. Innovate by exploring new technologies and methodologies, contributing to Solvative's mission of leveraging data for impactful business solutions. Participate in code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement within the team. At Solvative , we embrace an ownership culture, where your contributions as a Data Engineer will significantly impact our data-driven decision-making processes and overall business success. Required Skills & Technical Competencies We are seeking a candidate with a strong skill profile that combines technical expertise and problem-solving abilities to excel in the Data Engineer role at Solvative . Your skills will directly contribute to the efficiency and effectiveness of our data operations. Technical Skills SQL (Advanced) — essential for querying and managing databases, enabling effective data manipulation and retrieval for analysis. Python (Intermediate) — crucial for developing data processing scripts and automating workflows within the tech stack. Scala (Intermediate) — used for building scalable data processing applications and enhancing data pipeline performance. ETL/ELT (Intermediate) — knowledge required to design efficient data pipelines that ensure data integrity and availability. Apache Airflow (Intermediate) — proficiency in orchestrating complex workflows and scheduling data tasks effectively. Cloud Platforms (AWS, GCP, Azure) — familiarity with cloud solutions is important, as Solvative's infrastructure relies heavily on these technologies. Snowflake (Intermediate) — experience in data warehousing solutions to support analytics and reporting needs. Git (Intermediate) — essential for version control and collaboration within the engineering team. Soft Skills & Professional Competencies Problem-solving — ability to tackle complex data challenges and derive actionable insights. Communication skills — essential for collaborating with cross-functional teams and conveying technical concepts effectively. Time management — ability to prioritize tasks and meet deadlines in a fast-paced environment. Team collaboration — working effectively within a team-oriented environment to achieve common goals. Good to Have (Bonus) Terraform — experience in infrastructure as code for managing cloud resources. Docker — familiarity with containerization for deploying applications consistently across environments. Kubernetes — knowledge of orchestration for managing containerized applications at scale. To showcase these skills in your resume or interview for the Data Engineer role at Solvative , highlight specific projects and experiences that demonstrate your technical competencies and problem-solving abilities. Eligibility Criteria This role is designed for candidates who are eager to contribute to Solvative's data initiatives and possess the necessary qualifications and skills. We welcome both freshers and experienced candidates to apply. Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Technology , Data Engineering , or a related field. Eligible batches: 2023, 2024, 2025, and 2026 passouts. Minimum CGPA of 7.0 preferred, reflecting a solid academic foundation in technical disciplines relevant to data engineering. Prior internship or hands-on project experience is a strong advantage. Both freshers and candidates with 2+ years of experience in data engineering roles are encouraged to apply. Relevant certifications in data engineering or cloud technologies will provide a competitive edge. Documentation & Portfolio Requirements Prepare a concise resume highlighting your educational background, relevant skills, and any projects you have completed. A strong GitHub portfolio showcasing your coding abilities and contributions to data engineering projects is highly recommended. Certifications in relevant technologies will further strengthen your application. Pro Tip: Tailor your resume to emphasize your technical skills and relevant experiences that align with the Data Engineer role at Solvative to improve your application success rate. Salary & Benefits 💰 Compensation ₹8 – ₹15 LPA The compensation philosophy at Solvative for the Data Engineer role is designed to attract and retain top talent in the technology industry. The salary for this role ranges from ₹8 – ₹15 LPA , which is competitive within the industry and reflects the candidate's experience and skill level. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Flexible Work Hours — allowing you to manage your work-life balance effectively Performance Bonuses — annual bonuses based on individual and company performance Training Programs — access to workshops and certifications to enhance your skills Meal Allowances — monthly stipends to support your daily meals Additional Perks & Benefits Remote Work Options — work from anywhere, promoting a remote-friendly culture Transport Facilities — assistance for commuting to the office if required Mentorship Opportunities — pairing with experienced professionals for guidance Career Development Programs — structured pathways for rapid career advancement Internal Mobility — opportunities to explore different roles within the company Career Progression & Salary Growth At Solvative , we believe in fostering rapid career advancement through regular appraisal cycles. Typically, employees can expect a raise of 10-20% annually, depending on performance. Promotion timelines are clearly defined, allowing for transparency in career growth. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the Data Engineer role, and be prepared to discuss how you can add value to Solvative . Selection Process The hiring philosophy at Solvative emphasizes finding candidates who not only possess the technical skills necessary for the Data Engineer role but also fit well within our team culture. We aim for a streamlined selection process that respects candidates' time while ensuring a thorough evaluation. 1 Round 1: Initial Screening — review of applications focusing on technical skills and relevant experience 2 Round 2: Technical Interview — assessing problem-solving abilities and proficiency in SQL , Python , and data engineering concepts 3 Round 3: Final Interview — discussion with team leads to evaluate cultural fit and potential contributions 4 Final Offer Stage — includes a background check and discussion of compensation and benefits What Each Round Tests In Round 1 , we focus on your technical background and relevant experiences. Round 2 dives deeper into your coding skills and understanding of data engineering principles. Finally, Round 3 assesses your alignment with our company values and team dynamics. Timeline & Expectations The entire selection process typically takes 2-4 weeks from application submission to offer. You can expect timely communication from Solvative at each stage, keeping you informed about your application status. Interview Prep Tip: Familiarize yourself with common data engineering challenges and be prepared to solve real-world problems during the technical interview. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at Solvative? Eligibility Tap to expand + Answer Candidates must hold a Bachelor's or Master's degree in relevant fields, with batch eligibility from 2023 to 2026, and 2+ years of experience is preferred. ? What is the interview process for Data Engineer at Solvative? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on core skills, and a final cultural fit interview with team leads. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will work primarily with SQL, Python, Airflow, and cloud platforms like AWS and GCP, along with tools like dbt and Spark. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹8 to ₹15 LPA, with opportunities for performance bonuses and annual appraisals. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role offers remote work flexibility, allowing you to work from anywhere while collaborating with a global team. ? What is the career growth path after joining Solvative as a Data Engineer? Growth Tap to expand + Answer Expect clear growth trajectories with opportunities for promotions and lateral moves within 6-12 months based on performance. ? How should I prepare for the Data Engineer interview at Solvative? Preparation Tap to expand + Answer Focus on brushing up on SQL, Python, and data engineering principles, and be ready to discuss your past projects and problem-solving approaches. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply via the provided link, ensuring you include a tailored resume and any relevant project portfolios or certifications. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 3-6 months, during which performance will be closely monitored and feedback provided. ? What is the work culture like at Solvative? Culture Tap to expand + Answer The culture emphasizes collaboration, continuous learning, and inclusivity, fostering an environment where employees can thrive and innovate. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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