📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Statsby Solutions 👥 Experience 1-3 years 🎓 Qualification Bachelor's degree 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹5.5 – ₹10.0 LPA 🏢 Industry Technology 🛠 Key Skills Snowflake DBT SQL Data Vault modeling Data Engineer at Statsby Solutions — Full Details & How to Apply Statsby Solutions is seeking a Data Engineer to enhance their data architecture in Pune, Maharashtra, India . With a 100% Data Quality Score , this role is pivotal for freshers aiming to excel in data engineering. The demand for Data Engineer jobs is surging as companies increasingly rely on data-driven decision-making. This specific role at Statsby Solutions is crucial for the company's growth, especially as they specialize in building scalable data stacks that improve analytics efficiency for clients. Founded in 2020 , Statsby Solutions has rapidly expanded to a team of over 100 professionals , specializing in data analytics and engineering. This growth reflects a strong commitment to innovation, making Statsby Solutions a notable employer in the technology sector. Freshers from 2021, 2022, 2023, 2024, 2025 can leverage this role to kickstart their careers in data engineering. Candidates should possess a Bachelor's degree and have 1-3 years experience . The salary for this position ranges from ₹5.5 – ₹10.0 LPA , making it an attractive option in the Pune, Maharashtra, India jobs market. Working with technologies like Snowflake , DBT , and SQL provides unique exposure to modern data stack technologies that many competitors do not offer. This role opens doors to advanced positions in data architecture, allowing you to significantly enhance your career trajectory. 📊 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 Statsby Solutions is to design and implement robust data architectures that enhance data accessibility and integrity, driving informed decision-making across the organization. Design and implement data warehouse architectures using Snowflake to optimize data storage and retrieval for various business needs. Build and maintain data transformation workflows with DBT to ensure data integrity and operational efficiency across data pipelines. Collaborate with cross-functional teams, including data analysts and software developers, to align data strategies and enhance overall project outcomes. Monitor data pipeline performance metrics to identify and resolve issues proactively, ensuring seamless data flow and accessibility. Take ownership of data quality initiatives, ensuring adherence to the company's 100% Data Quality Score through rigorous testing and validation. Document data processes and workflows for team knowledge sharing and compliance, facilitating smoother onboarding and project execution. Engage with clients to understand their data needs and provide tailored solutions that meet specific business objectives. In this role, you will have the opportunity to take ownership of critical data initiatives, directly impacting the quality and accessibility of data across the organization. Required Skills & Technical Competencies The ideal candidate for the Data Engineer position will possess a strong technical skill set, enabling them to effectively manage and transform data for strategic insights. Technical Skills Snowflake — advanced — essential for building scalable data architectures that support efficient data storage and retrieval. DBT — intermediate — critical for creating efficient data transformation workflows that ensure data integrity. SQL — advanced — necessary for writing complex queries that drive actionable data insights and support decision-making. Data Vault modeling — entry — foundational understanding required for structuring data warehouses effectively to meet business needs. Soft Skills & Professional Competencies Analytical skills — necessary for problem-solving and optimizing data processes in collaboration with cross-functional teams. Attention to detail — crucial for maintaining high data quality standards and ensuring compliance with data governance policies. Effective communication — important for engaging with clients to understand their data needs and articulate technical solutions. Time management — essential for prioritizing tasks and meeting project deadlines in a structured environment. Good to Have (Bonus Skills) Experience with cloud platforms — enhances the ability to manage data in a cloud environment effectively. Knowledge of ETL processes — unlocks additional capabilities in data integration and transformation. Familiarity with data visualization tools — aids in presenting data insights effectively to stakeholders. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with Snowflake , DBT , and SQL . Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to develop their skills in data engineering. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related fields is required. Eligible batches include 2021 to 2025 , ensuring freshers have the latest academic knowledge. 1+ years of experience is preferred, but freshers with relevant internships or projects are also encouraged to apply. A minimum CGPA of 6.0 is recommended to demonstrate academic competence. Having a portfolio or GitHub showcasing relevant projects can significantly enhance candidacy. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any projects or internships related to data engineering. Pro tip: Highlight specific projects in your portfolio that showcase your experience with Snowflake and DBT to stand out in your application. Salary for Data Engineer at Statsby Solutions 💰 Compensation ₹5.5 – ₹10.0 LPA The advertised compensation for the Data Engineer role at Statsby Solutions is ₹5.5 – ₹10.0 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 Statsby Solutions The selection process for the Data Engineer role is designed to assess both technical skills and cultural fit within the company. 1 Round 1: Online Assessment — 60 minutes, testing SQL and data engineering fundamentals through multiple-choice questions. 2 Round 2: Technical Interview — focuses on Snowflake, DBT, SQL, and Data Vault modeling methodologies. 3 Round 3: Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions. 4 Final Round: HR Interview — discusses offer details and company culture, typically within a week of the last interview. Topic-wise Preparation Guide Round 1 Preparation SQL fundamentals — essential for data querying and manipulation — LeetCode Data warehousing concepts — relevant for understanding Snowflake architecture — GeeksForGeeks Basic DBT workflows — important for data transformation tasks — Udemy Data Vault modeling principles — foundational for structuring data effectively — YouTube Round 2 Preparation Snowflake architecture — depth in cloud data warehousing expected — Coursera DBT best practices — understanding of data transformation workflows — Khan Academy Advanced SQL queries — proficiency in complex query writing — HackerRank Data pipeline optimization — techniques for improving data flow — W3Schools Collaboration in data projects — teamwork and communication skills — LinkedIn Learning Round 3 Preparation Behavioral question on teamwork — using the STAR method to discuss past experiences — MindTools Problem-solving scenario — demonstrating analytical thinking in data challenges — freeCodeCamp Technical deep-dive on Snowflake — discussing specific use cases and implementations — GeeksForGeeks Timeline & Expectations The typical timeline from application to offer is approximately 2-4 weeks , depending on the number of candidates. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with the company's values. Expected Interview Questions for Data Engineer at Statsby Solutions The following questions are tailored to the specific tech stack and responsibilities of the Data Engineer role. Technical Questions Explain how Snowflake handles data storage and retrieval. What are the advantages of using DBT for data transformation? How would you optimize a slow SQL query? Describe your experience with Data Vault modeling. What strategies would you use to ensure data quality? How do you approach building a data pipeline? Behavioral Questions Describe a time you worked in a team to solve a complex problem. How do you handle tight deadlines in data projects? What motivates you to work in data engineering? Can you give an example of a challenging project and how you overcame it? Role-Specific Questions What specific data engineering projects have you worked on? How do you ensure the scalability of data solutions? What tools do you prefer for data visualization and why? Structure your answers using the STAR method to clearly demonstrate your thought process and problem-solving abilities. 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 Snowflake DBT SQL Data Vault Data Pipeline ETL Data Warehousing Data Transformation Analytical Skills Cloud Computing Collaboration Resume Tips for This Role Highlight your experience with Snowflake and DBT , as these are critical for the role. Emphasize teamwork and collaboration skills, showcasing any relevant projects. Include a link to your GitHub or portfolio demonstrating your data engineering projects. Optimize 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 generic skills or unrelated job experiences that do not align with the data engineering role. About Statsby Solutions Founded in 2020 , Statsby Solutions is headquartered in Pune, Maharashtra , and has rapidly expanded to over 100 employees . The company focuses on delivering innovative data solutions, establishing a significant presence in the technology sector within just a few years. At the core of Statsby Solutions are its advanced data analytics platforms, which leverage Snowflake for data warehousing and DBT for data transformation. These tools enable businesses to harness their data effectively, driving informed decision-making and operational efficiency. Statsby Solutions fosters a collaborative culture, reflected in its impressive 4.5-star rating on Glassdoor . The company prioritizes employee development through various programs, ensuring that team members have access to resources that enhance their skills and job satisfaction. Recently, Statsby Solutions secured a funding round aimed at expanding its service offerings. This investment underscores the company’s growth trajectory and its commitment to advancing technological solutions in the data analytics space. For freshers in technology, Statsby Solutions provides a unique opportunity to work with industry-leading tools and technologies. This experience lays a solid foundation for a successful career, equipping new employees with the skills necessary to thrive in the evolving tech landscape. Why Join Statsby Solutions as Data Engineer? Joining Statsby Solutions as a Data Engineer offers a unique chance to develop specialized skills in cutting-edge technologies that are highly valued in the industry. Hands-on Experience with Snowflake — Gain practical knowledge of a leading cloud data platform, enhancing your technical capabilities. Expertise in DBT — Develop proficiency in a key tool for data transformation workflows, making you a sought-after professional. Career Advancement Opportunities — After 1-2 years, you can pursue roles such as Senior Data Engineer or Data Architect, with potential leadership paths. Collaborative Work Environment — Experience a supportive atmosphere that encourages learning and professional growth among peers. Vibrant Lifestyle in Pune — Enjoy a dynamic city with access to tech hubs and networking opportunities that enrich your career. According to NexisGrow.com, starting your career as a Data Engineer at Statsby Solutions positions you for success in a rapidly evolving technology landscape. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Statsby Solutions? Eligibility Tap to expand + Answer Candidates with Bachelor's degree and 1-3 years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Snowflake, DBT, SQL, Data Vault modeling. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹5.5 – ₹10.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Statsby Solutions? 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: Snowflake, DBT, SQL, Data Vault modeling. ? 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 Snowflake, DBT, SQL, Data Vault modeling, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Statsby Solutions research, (5) Clear communication. ? What is the work culture like at Statsby Solutions? 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 Pune Browse all Tech jobs More jobs at Statsby Solutions Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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