📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company phData 👥 Experience 3-5 years 🎓 Qualification Bachelor’s in Computer Science or related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹20–32 LPA 🏢 Industry Technology 🛠 Key Skills Python Scala SQL Snowflake Databricks Spark Kafka AWS Azure GCP Senior Data Engineer at phData — Full Details & How to Apply phData is seeking a Senior Data Engineer to drive data solutions remotely in India . With a salary range of ₹20–32 LPA , this role offers significant career advancement opportunities in a rapidly evolving tech landscape. The demand for skilled data engineers is surging as companies increasingly rely on data-driven decision-making. This specific Senior Data Engineer role at phData is crucial for the company's growth, enabling it to deliver high-quality data solutions that enhance operational efficiency and decision-making capabilities for clients. Founded in 2014 , phData has grown to over 200 employees and specializes in data engineering and analytics solutions. This positions phData as a leader in the tech industry, making it an attractive employer for those looking to advance their careers in data engineering. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s in Computer Science or related field and 3-5 years experience to apply. This role not only offers a competitive salary of ₹20–32 LPA but also provides freshers with hands-on experience using industry-standard tools. In this position, you will work with essential skills such as Python , Scala , SQL , Snowflake , Databricks , Spark , Kafka , AWS , Azure , and GCP . This exposure opens doors to various career paths and accelerates your professional growth in the tech sector. 📊 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 Senior Data Engineer at phData is to design and implement robust data pipelines that enhance data processing efficiency and support data-driven decision-making across the organization. Design and implement data pipelines using Apache Spark to ensure efficient data processing and transformation for large datasets. Utilize SQL for querying large datasets, focusing on optimizing performance for data retrieval and analysis. Collaborate with the Data Science team to integrate machine learning models into production environments, enhancing predictive analytics capabilities. Monitor data quality metrics to maintain a Data Quality Score of 100, ensuring reliability in data-driven decisions. Take ownership of data architecture projects, driving initiatives from conception to deployment using Snowflake for cloud data warehousing. Document data engineering processes and workflows to facilitate knowledge sharing within the team, ensuring clarity and consistency. Engage with clients to troubleshoot data-related issues, providing solutions that enhance their data infrastructure and operational efficiency. This role fosters an ownership culture, allowing you to directly impact data strategies and drive innovation within phData . Required Skills & Technical Competencies The ideal candidate for the Senior Data Engineer position must possess a strong technical skill set, particularly in data processing and cloud technologies. Technical Skills Python — advanced — essential for scripting and automation tasks, utilizing libraries like Pandas and NumPy for data manipulation. Scala — advanced — used for building scalable data processing applications, crucial for performance in big data environments. SQL — advanced — necessary for data manipulation and querying, focusing on complex joins and aggregations to optimize data retrieval. Snowflake — intermediate — utilized for cloud data warehousing, enabling efficient storage and retrieval of large datasets. Databricks — intermediate — employed for collaborative data engineering and analytics, enhancing productivity through integrated workflows. AWS — intermediate — used for deploying and managing cloud-based data solutions, ensuring scalability and reliability. Kafka — intermediate — leveraged for real-time data streaming, facilitating the integration of data from various sources. GCP — intermediate — utilized for cloud computing services, enhancing data processing capabilities and storage solutions. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these technologies effectively. 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 degree in Computer Science or a related field, providing foundational knowledge in programming and data structures. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and start their careers in data engineering. The role requires 3-5 years of experience , but freshers with relevant internships or projects can also be considered for entry-level tasks. A minimum CGPA of 7.0 is preferred, ensuring candidates have a solid academic background. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements When submitting your resume, ensure it is well-structured and includes specific projects, technologies used, and measurable outcomes to highlight your contributions. Pro tip: Tailor your application to emphasize your hands-on experience with Apache Spark and SQL , as these are critical for the role. Salary for Senior Data Engineer at phData 💰 Compensation ₹20–32 LPA The advertised compensation for the Senior Data Engineer role at phData is ₹20–32 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the Senior Data Engineer role at phData . Recommended Courses & Resources Python — Essential for data manipulation and analysis in engineering tasks. Scala — Important for working with Apache Spark and big data processing. SQL — Crucial for database management and querying large datasets. AWS — Key for cloud services and data storage solutions. KodNest — Offers practical coding challenges to enhance your technical skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to customize your resume for the specific role — tailor your application to match the job description. ❌ Neglecting to showcase relevant projects or internships — highlight experiences that demonstrate your technical skills. ❌ Using generic language instead of specific metrics or technologies — be precise about your contributions and tools used. ❌ Overlooking the importance of a cover letter — include a cover letter that articulates your motivation for applying. ❌ Not preparing for technical interviews — practice coding challenges relevant to the role. ❌ Ignoring the application deadline — keep track of submission dates to avoid missed opportunities. Before You Apply — Checklist ✅ Research phData 's recent projects and technologies to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a cover letter that articulates your interest in the role and the company. ✅ Gather references who can speak to your technical abilities and work ethic. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common data engineering interview questions and coding challenges. ✅ Double-check the application portal for any specific submission guidelines. ✅ Set reminders for follow-up after submitting your application. Resume Tailoring & ATS Keywords for Senior Data Engineer Optimizing your resume for ATS is crucial for securing an interview for the Senior Data Engineer position at phData . ATS Keywords to Include Data Engineer Python SQL Snowflake Databricks Spark Kafka AWS Azure GCP Data Quality Cloud Engineering Resume Tips for This Role Highlight your experience with specific data tools mentioned in the job description, such as Snowflake and Databricks. Emphasize projects that demonstrate your ability to work with large datasets and data pipelines. Include links to your portfolio or GitHub to showcase relevant coding skills and projects. Optimize your resume for ATS by using keywords from the job description to ensure it passes initial screenings. Avoid including irrelevant work experience or skills that do not align with the data engineering focus. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include irrelevant personal information or experiences that do not relate to data engineering. How to Apply for Senior Data Engineer at phData Apply Now — phData Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your relevant experiences. After submission, expect a confirmation email regarding your application status. Use the application portal to track your application progress and updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — phData NexisGrow.com does not charge any fees for job applications. phData phData was founded in 2014 and is headquartered in Minneapolis, USA . With a strong global presence, the company employs a dedicated team in India and has expanded its workforce to over 200 employees . This growth reflects its commitment to providing top-tier data solutions across various industries. Specializing in data engineering, analytics, and machine learning, phData offers services that include Snowflake implementations, Databricks integrations, and Kafka streaming solutions. The company’s expertise in cloud platforms such as AWS , Azure , and GCP enables businesses to optimize their data strategies effectively. phData has received a 4.5-star rating on Glassdoor, showcasing its supportive work culture and dedication to employee development. The company actively promotes initiatives like mentorship programs and continuous learning opportunities, which contribute to a positive workplace environment and employee satisfaction. Recently, phData secured a significant funding round to enhance its cloud data engineering services. This investment is aimed at expanding its capabilities and fostering innovation in the tech space, further solidifying its position as a leader in data solutions. For freshers in technology, phData offers a unique launchpad for their careers. With access to industry experts and exposure to cutting-edge technologies, employees can develop essential skills that are highly valued in the tech industry, setting a strong foundation for future success. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 phdata.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Engineer at phData? Eligibility Tap to expand + Answer Candidates with Bachelor’s in Computer Science or related field and 3-5 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: Python, Scala, SQL, Snowflake, Databricks. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹20–32 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at phData? 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: Python, Scala, SQL, Snowflake, Databricks. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Scala, SQL, Snowflake, Databricks, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) phData research, (5) Clear communication. ? What is the work culture like at phData? 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 Remote — India Browse all Tech jobs Latest Fresher jobs More jobs at phData 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