📋 Job Details at a Glance 📍 Location Kochi, Kerala, India 🏢 Company Cognizant 👥 Experience 2+ years 🎓 Qualification Bachelor's degree in Computer Science, Information Technology, Data Science, or a related quantitative engineering track 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹6.5 – ₹11.5 LPA 🏢 Industry Technology 🛠 Key Skills Databricks PySpark Delta Lake AWS Azure GCP Developer – Databricks SQL, Delta Lake & PySpark at Cognizant — Full Details & How to Apply Cognizant is seeking a Developer – Databricks SQL, Delta Lake & PySpark in Kochi, Kerala, India , offering freshers a chance to work with cutting-edge data technologies. This role is pivotal as the demand for data engineers is surging, with companies increasingly adopting cloud technologies to enhance their data-driven projects. The Developer – Databricks SQL, Delta Lake & PySpark position is crucial in the technology sector, particularly as organizations strive to leverage data for strategic decision-making. As more companies transition to cloud platforms, the expertise in tools like Databricks and Delta Lake becomes increasingly valuable, making this role essential for Cognizant's growth in delivering high-quality data solutions. What sets Cognizant apart is its scale and commitment to innovation. Founded in 1994 , Cognizant employs over 300,000 professionals globally, positioning itself as a leader in technology services and consulting. This role offers unique exposure to the Databricks ecosystem and Delta Lake architecture, which are not commonly found in similar roles at other companies, enhancing your professional portfolio. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related quantitative engineering track to apply. Candidates should have 2+ years experience in relevant fields, with a competitive salary range of ₹6.5 – ₹11.5 LPA . In this role, you will work with essential skills such as Databricks , PySpark , Delta Lake , AWS , Azure , and GCP . This position not only opens doors to advanced data engineering roles but also provides a robust career trajectory, allowing you to progress into senior positions within 2-3 years . 📊 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 Developer – Databricks SQL, Delta Lake & PySpark role at Cognizant is to design and implement robust data solutions that enhance operational efficiency through advanced data processing techniques. Design and implement high-throughput data pipelines using Databricks SQL to ensure efficient data processing and integration. Utilize PySpark for writing complex data transformations, optimizing workflows to enhance data processing efficiency. Collaborate with cross-functional teams, including data scientists and business analysts, to align data solutions with specific business needs. Monitor and optimize the performance of data pipelines, aiming for a reduction in processing time by at least 20% . Take ownership of data quality initiatives, ensuring all data transformations meet industry standards and compliance. Document data processes and workflows clearly for team reference and future audits, enhancing knowledge sharing. Engage with clients to understand their data needs and provide tailored solutions that enhance their operational efficiency. At Cognizant , you will have the opportunity to take ownership of your projects, directly impacting data-driven decision-making and operational success. Required Skills & Technical Competencies The ideal candidate for the Developer – Databricks SQL, Delta Lake & PySpark role must possess a robust skill profile to effectively manage data solutions. Technical Skills Databricks — advanced — essential for building and managing data pipelines to ensure efficient data processing. PySpark — hands-on experience required — critical for data manipulation and transformation in daily tasks. Delta Lake — necessary — knowledge of this storage architecture is crucial for designing modern data solutions. AWS — familiarity required — crucial for integrating data solutions within cloud environments. Azure — familiarity required — important for deploying data solutions in cloud settings. GCP — familiarity required — beneficial for understanding data integration across cloud platforms. Soft Skills & Professional Competencies Strong problem-solving skills — essential for troubleshooting data issues and optimizing processes in real-time. Effective communication skills — necessary for collaborating with cross-functional teams and engaging with clients. Attention to detail — critical for ensuring data quality and compliance with industry standards. Adaptability — important for adjusting to evolving data requirements and technologies. Good to Have (Bonus Skills) Experience with Apache Spark — enhances your ability to handle large-scale data processing tasks. Knowledge of SQL — vital for querying databases and ensuring data integrity. Familiarity with ETL processes — beneficial for understanding data flow and transformation. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with these tools and technologies. Eligibility Criteria This role is designed for candidates who are eager to apply their technical skills in a practical setting and contribute to innovative data solutions. Candidates must hold a Bachelor's degree in Computer Science , Information Technology , Data Science , or a related field. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and kickstart their careers. A minimum of 2 years of experience is required, but freshers with relevant internships may also be considered. A CGPA of 7.0 or above is preferred to ensure a strong academic background. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your technical skills and relevant experiences. Include links to your portfolio or GitHub showcasing your projects. Pro tip: Tailor your application to highlight specific experiences with Databricks and PySpark to stand out in the selection process. Salary for Developer – Databricks SQL, Delta Lake & PySpark at Cognizant 💰 Compensation ₹6.5 – ₹11.5 LPA The advertised compensation for the Developer – Databricks SQL, Delta Lake & PySpark role at Cognizant is ₹6.5 – ₹11.5 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 Cognizant The selection process for the Developer – Databricks SQL, Delta Lake & PySpark role at Cognizant is designed to assess both technical and cultural fit. 1 Online Assessment — 60 minutes, testing coding skills and basic data structures. 2 Technical Interview — focuses on Databricks, PySpark, and Delta Lake, assessing problem-solving and coding skills. 3 Behavioral Interview — evaluates cultural fit and teamwork through scenario-based questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and trees is crucial for coding tasks. — LeetCode Algorithms — focus on sorting and searching algorithms relevant to data processing. — GeeksForGeeks Basic SQL Queries — practice writing queries to manipulate and retrieve data. — W3Schools Python Basics — ensure proficiency in Python as it is essential for PySpark. — freeCodeCamp Round 2: Technical Interview Databricks SQL — focus on writing efficient queries and understanding the platform's features. — Coursera PySpark — practice data transformations and optimizations specific to this tool. — Udemy Delta Lake Architecture — understand how to design and manage data lakes. — YouTube Cloud Integration — familiarize yourself with AWS, Azure, or GCP services related to data. — LinkedIn Learning ETL Processes — review best practices for data extraction, transformation, and loading. — Khan Academy Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences. Team Collaboration — discuss experiences working in teams and resolving conflicts. Technical Deep-Dive — be ready to explain your approach to a specific data problem you've solved. Timeline & Expectations The application to offer timeline typically spans 1-2 weeks , allowing for thorough evaluation and communication. Prepare thoroughly for each round, as Cognizant values both technical expertise and cultural fit. Expected Interview Questions for Developer – Databricks SQL, Delta Lake & PySpark at Cognizant These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would optimize a PySpark job for performance. What are the key features of Delta Lake that differentiate it from traditional data lakes? How do you handle data skew in a Databricks environment? Describe a complex SQL query you wrote and its purpose. What strategies do you use for debugging data pipelines? How would you implement a real-time data processing solution using Databricks? Behavioral Questions Describe a time when you faced a challenge in a team project and how you resolved it. How do you prioritize tasks when working on multiple projects? Tell me about a time you had to learn a new technology quickly. How do you handle feedback and criticism from peers? Role-Specific Questions What is your experience with building data pipelines in a cloud environment? How do you ensure data quality in your projects? Can you explain a project where you used Databricks and its impact? Structure your answers using the STAR method to provide clear and concise responses. Resume Tailoring & ATS Keywords for Developer – Databricks SQL, Delta Lake & PySpark Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Databricks PySpark Delta Lake AWS Azure GCP Data Engineering ETL Cloud Integration Data Pipelines SQL Big Data Resume Tips for This Role Highlight your experience with Databricks and PySpark prominently in your skills section. Showcase relevant projects that demonstrate your ability to work with data technologies. Include internships or practical experiences that relate directly to the job description. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not showcase your technical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include irrelevant experiences that do not align with the job requirements. About Cognizant Cognizant was founded in 1994 and is headquartered in Teaneck, New Jersey . With a global workforce of over 300,000 employees across 50+ countries , the company has established a significant presence in the technology sector, providing services to clients worldwide. Cognizant specializes in digital transformation services, including AI , cloud computing , and data analytics . Its offerings include platforms like Databricks and Delta Lake , which are pivotal for businesses looking to leverage data for strategic decision-making. The company has received multiple awards for its workplace culture, including a Glassdoor rating of 4.2 , reflecting high levels of employee satisfaction and engagement. Cognizant also invests in employee development through mentorship programs and training initiatives that foster a collaborative work environment. Recently, Cognizant announced a strategic partnership with Databricks to enhance its data analytics capabilities. This initiative underscores its commitment to innovation and staying at the forefront of technology trends, further solidifying its position in the industry. Joining Cognizant offers freshers a robust foundation in data engineering, with comprehensive training programs designed to facilitate career growth. The company's focus on mentorship ensures that new employees receive the guidance needed to thrive in the technology landscape. Why Join Cognizant as Developer – Databricks SQL, Delta Lake & PySpark? At Cognizant, you will gain invaluable experience with cutting-edge technologies like Databricks , which is essential for big data processing, allowing you to enhance your technical skill set significantly. Hands-on Experience — Work directly with PySpark , a critical tool for data transformation and analysis, which is highly sought after in the industry. Career Advancement — After 1-2 years , you can transition into roles like Senior Data Engineer or Data Architect, significantly increasing your earning potential. Collaborative Culture — Cognizant's culture encourages knowledge sharing, providing a nurturing environment for professional development and innovation. Flexible Work Model — The hybrid work model allows for flexibility, enabling you to balance work and personal life effectively while maintaining productivity. Mentorship Programs — Benefit from structured mentorship programs that support your growth and help you navigate your career path in technology. According to NexisGrow.com, a role at Cognizant as a Developer – Databricks SQL, Delta Lake & PySpark not only enhances your technical skills but also positions you for future leadership roles in the tech industry. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Developer – Databricks SQL, Delta Lake & PySpark at Cognizant? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in Computer Science, Information Technology, Data Science, or a related quantitative engineering track 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: Databricks, PySpark, Delta Lake, AWS, Azure. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹6.5 – ₹11.5 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Cognizant? 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: Databricks, PySpark, Delta Lake, AWS, Azure. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Developer – Databricks SQL, Delta Lake & PySpark interview? Preparation Tap to expand + Answer (1) Core concepts of Databricks, PySpark, Delta Lake, AWS, Azure, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Cognizant research, (5) Clear communication. ? What is the work culture like at Cognizant? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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