📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Providence 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related engineering discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills SQL Python PySpark RESTful APIs Git CI/CD Snowflake Microsoft Azure ADLS Data Engineer 2 at Providence — Full Details & How to Apply Providence is seeking a Data Engineer 2 in Hyderabad, Telangana, India , where you will develop scalable data pipelines and work with cutting-edge Generative AI technologies. This role offers a unique chance to be at the forefront of data engineering in a city known for its booming tech ecosystem. The demand for skilled Data Engineers is surging in India, particularly in Hyderabad, due to the city's growing tech ecosystem and focus on AI-driven solutions. As a Data Engineer 2 , your contributions will be vital in enhancing data processing systems, ensuring that both internal operations and customer experiences are optimized. Providence , founded in 2010 , has rapidly expanded to over 1,000 employees, specializing in innovative data solutions and AI technologies. This growth reflects the company's dedication to fostering a culture of innovation and collaboration, making it an ideal workplace for aspiring data professionals. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related engineering discipline to apply. Candidates should have 2+ years experience , and the salary for this position is as per Company Policy . In this role, you will gain hands-on experience with essential skills such as SQL , Python , PySpark , RESTful APIs , Git , CI/CD , Snowflake , and Microsoft Azure . This exposure will not only enhance your technical capabilities but also open doors to advanced positions in data science and 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 2 role at Providence is to develop and optimize data pipelines that enhance data processing efficiency and support advanced analytics initiatives. Develop scalable data pipelines using PySpark to ensure efficient data processing and integration across various platforms. Optimize complex database queries in SQL to enhance performance and improve data retrieval speed for analytics. Collaborate with AI and Data Science teams to implement Generative AI solutions that align with client requirements and expectations. Monitor data quality metrics to maintain a Data Quality Score of 100 , ensuring reliability and accuracy in data outputs. Take ownership of project deliverables, ensuring timely completion and adherence to best practices in data engineering. Document data engineering processes and communicate findings to stakeholders for transparency and informed decision-making. Troubleshoot data-related issues and provide solutions to enhance system performance and reliability. This role fosters an ownership culture, allowing you to make a direct impact on data-driven decision-making processes within Providence . Required Skills & Technical Competencies The skill profile for this role requires a strong foundation in data engineering tools and technologies to effectively manage and process large datasets. Technical Skills SQL — intermediate — essential for managing and querying databases to optimize data retrieval processes. Python — intermediate — used for scripting and automation in data processing tasks, requiring hands-on experience. PySpark — advanced — critical for handling large datasets and performing distributed data processing efficiently. RESTful APIs — intermediate — necessary for integrating data services and ensuring seamless data flow across applications. Git — intermediate — important for version control and collaboration on codebases, requiring familiarity with branching and merging. Soft Skills & Professional Competencies Analytical Thinking — essential for interpreting complex data sets and deriving actionable insights. Problem-Solving — crucial for troubleshooting data-related issues and implementing effective solutions. Communication Skills — necessary for documenting processes and conveying technical findings to non-technical stakeholders. Time Management — important for prioritizing tasks and ensuring timely project deliverables. Good to Have (Bonus Skills) Experience with Snowflake Cortex AI — unlocks advanced data analytics capabilities. Familiarity with CI/CD pipelines — enhances deployment efficiency and reliability. Knowledge of vector databases — beneficial for implementing advanced AI solutions. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in data engineering. Eligibility Criteria This role is designed for candidates with a solid educational background and relevant experience in data engineering. Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Technology , Data Science , or related fields. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply directly after completing their studies. A minimum of 2 years of core data engineering experience is required, which can include internships or relevant projects for freshers. A CGPA of 7.0 or higher is preferred, reflecting strong academic performance in technical subjects. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly and includes relevant projects, skills, and experiences that align with the requirements of the Data Engineer 2 role. Pro tip: Highlight specific projects where you utilized PySpark or SQL to solve real-world data challenges in your application. Salary for Data Engineer 2 at Providence 💰 Compensation As per Company Policy The advertised compensation for the Data Engineer 2 role at Providence is As per Company Policy . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Providence The selection process at Providence is designed to identify candidates who possess both the technical skills and cultural fit for the team. 1 Online Assessment — 90 minutes, focusing on SQL and Python coding skills 2 Technical Interview — assessing knowledge in data engineering concepts, SQL optimization, and cloud technologies 3 Behavioral Interview — exploring past experiences and problem-solving approaches in team settings 4 HR Interview — discussing cultural fit and offer details, typically within a week of the last interview Topic-wise Preparation Guide Round 1: Online Assessment SQL — focus on advanced queries and optimization techniques relevant to data engineering — LeetCode Python — practice data manipulation and scripting for automation tasks — Khan Academy Data Structures — understanding of key structures used in data processing — GeeksForGeeks Algorithms — familiarity with sorting and searching algorithms applicable in data scenarios — HackerRank Round 2: Technical Interview Snowflake — deep dive into architecture and best practices for data warehousing — YouTube Azure/ADLS — understanding of cloud storage solutions and their integration — Microsoft Learn Data Pipelines — design and implementation strategies for scalable data workflows — Udemy Generative AI — concepts and frameworks relevant to AI applications — Coursera RESTful APIs — principles of API design and integration in data solutions — freeCodeCamp Round 3: Behavioral Interview Team Collaboration — discuss experiences working in cross-functional teams Problem Solving — provide examples of overcoming technical challenges Data Engineering Challenges — prepare for scenario-based questions related to real-world data issues Timeline & Expectations The entire selection process from application to offer typically takes 2-4 weeks . Prepare by reviewing the company’s recent projects and aligning your experiences with their values. Expected Interview Questions for Data Engineer 2 at Providence These questions are based on the role's actual tech stack and responsibilities. Technical Questions How do you optimize a SQL query for performance? Explain how PySpark handles large datasets. What are the key features of Snowflake that you have utilized? Describe your experience with RESTful APIs in data integration. How do you implement CI/CD in data engineering projects? What is your approach to troubleshooting data quality issues? Behavioral Questions Describe a time when you had to work under pressure to meet a deadline. How do you handle conflicts within a team? Can you give an example of a successful project you led? What motivates you to work in data engineering? Role-Specific Questions What strategies do you use for building scalable data pipelines? How do you ensure data integrity in your projects? What experience do you have with Generative AI frameworks? Structure your answers using the STAR method: Situation, Task, Action, Result for clarity and impact. Resume Tailoring & ATS Keywords for Data Engineer 2 Optimizing your resume for ATS is crucial for this role to ensure it passes initial screenings. ATS Keywords to Include Data Engineer SQL Python PySpark RESTful APIs Git CI/CD Snowflake Microsoft Azure ADLS Generative AI Data Pipelines Resume Tips for This Role Highlight relevant projects that demonstrate your experience with SQL and Python. Emphasize any internships or practical experience in data engineering. Include links to your GitHub or portfolio showcasing your work. 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 generic skills or experiences unrelated to data engineering; focus on specifics. About Providence Founded in 2010 , Providence is headquartered in Hyderabad, Telangana, India , and has established a global presence across over 5 countries . The company specializes in delivering innovative, data-driven solutions that cater to a diverse clientele, showcasing its commitment to technological advancement and customer satisfaction. Providence is particularly recognized for its advanced data engineering services, focusing on Generative AI and cloud-based data solutions. The company utilizes platforms such as Microsoft Azure and Snowflake to provide scalable and efficient data management solutions, ensuring clients can leverage their data effectively. With a strong emphasis on employee growth, Providence has received a commendable 4.5-star rating on Glassdoor . The company promotes a collaborative culture and offers various employee development programs, including mentorship opportunities and skill enhancement workshops, fostering a supportive work environment. Recently, Providence secured a significant funding round aimed at expanding its AI capabilities . This investment reflects the company's commitment to innovation and positions it for continued growth in the competitive tech sector, enhancing its service offerings and market reach. For freshers in technology, Providence serves as a robust career launchpad. The company provides opportunities to work on cutting-edge technologies and projects that are shaping the future of data engineering, ensuring that new employees gain invaluable experience and skills in a rapidly evolving industry. Why Join Providence as Data Engineer 2? Joining Providence as a Data Engineer 2 offers a unique opportunity to develop specialized skills in a supportive environment that prioritizes professional growth and innovation. Hands-on Experience — Gain practical knowledge working with Snowflake and Microsoft Azure , two leading platforms in data engineering. Generative AI Frameworks — Work with cutting-edge technologies that are highly sought after in the tech industry, enhancing your marketability. Career Advancement — After 1-2 years, you could progress to roles such as Senior Data Engineer or Data Architect, with clear pathways to leadership positions. Continuous Learning Culture — Benefit from mentorship and collaborative projects that enhance your skills and foster team dynamics. Vibrant Tech Scene — Enjoy the rich lifestyle in Hyderabad , with numerous social and professional networking opportunities available. According to NexisGrow.com, the role of Data Engineer 2 at Providence not only provides essential technical skills but also positions you within a forward-thinking company that is at the forefront of data engineering innovation. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer 2 at Providence? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related engineering 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: SQL, Python, PySpark, RESTful APIs, Git. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: As per Company Policy. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Providence? 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: SQL, Python, PySpark, RESTful APIs, Git. ? 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 2 interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Python, PySpark, RESTful APIs, Git, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Providence research, (5) Clear communication. ? What is the work culture like at Providence? 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 Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Providence 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