📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Mastercard 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, SQL, Kafka, AWS, GCP, Azure, CI-CD, Spark. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Kafka AWS GCP Azure CI-CD Spark Senior Data Engineer-4 at Mastercard — Full Details & How to Apply Mastercard is hiring a Senior Data Engineer-4 in Hyderabad, India , responsible for designing and delivering complex data pipelines using Databricks and Spark . This role is critical for ensuring data quality and accessibility within Mastercard ’s payment systems. Candidates will work directly on batch and real-time data pipelines that support core transaction processing infrastructure. This Senior Data Engineer-4 role involves owning the design and development of data pipelines that process large-scale transaction data. The position requires hands-on implementation of pipelines using Python, SQL, Kafka, AWS, GCP, Azure, CI-CD, and Spark . These tools are used to build scalable, reliable, and secure data workflows that feed into Mastercard ’s core payment operations. The job posting identifies Mastercard as a leading technology company in the payments industry, with a focus on secure transaction solutions. The role is part of a technical team that manages data infrastructure for real-time and batch processing. The position is located in Hyderabad, India and requires onsite work. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 5+ years. Hands-on with Python, SQL, Kafka, AWS, GCP, Azure, CI-CD, Spark. Relevant technical / engineering background and 5+ years experience . The salary is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , Kafka , AWS , GCP , Azure , CI-CD , and Spark . This role provides a clear progression path into senior data engineering roles within a global technology firm, with exposure to enterprise-grade data systems and real-world payment infrastructure. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: No 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. Search for Senior Data Engineer-4 jobs , explore Mastercard recruitment , and find Hyderabad, India jobs with clear technical requirements and onsite work. Job Role & Responsibilities The Senior Data Engineer-4 at Mastercard is responsible for designing, building, and maintaining high-throughput, fault-tolerant data pipelines that process real-time transaction streams and support batch analytics for global payment systems. This role ensures data integrity , latency under 500ms , and 99.99% uptime across distributed environments. Own the end-to-end design and delivery of batch and real-time data pipelines using Spark and Databricks , ensuring data throughput of at least 10 TB/day and error rates below 0.1% . Drive dbt -based transformation architecture with Test-Driven Development (TDD) , enforcing unit test coverage of 90% and modular schema design for reusable data models. Design and implement CI-CD pipelines using GitLab and Jenkins , automating pipeline execution and data validation for every code commit . Administer and optimize Databricks clusters and workflows , monitoring query execution time and memory utilization to maintain sub-second response times . Champion data quality standards by enforcing data validation rules and schema drift detection in Spark and SQL transformations. Document pipeline architecture, error handling logic , and performance tuning steps in Confluence or Notion for team-wide knowledge sharing. Investigate and resolve data ingestion failures in Kafka streams, identifying root causes and implementing recovery mechanisms to restore data consistency . Collaborate with cloud operations teams to deploy data services on AWS , GCP , or Azure , ensuring cost efficiency and resource utilization under 80% . This role demands direct ownership of data infrastructure, with full accountability for data pipeline performance , operational stability , and end-to-end delivery to production systems. Required Skills & Technical Competencies The Senior Data Engineer-4 must possess advanced proficiency in Python , SQL , Kafka , and cloud platforms to build, deploy, and maintain scalable data systems. All skills are applied in real-world data pipeline environments with measurable performance outcomes. Technical Skills Python — advanced — used for developing Spark jobs, data transformation scripts , and custom ETL functions in Databricks notebooks. SQL — advanced — used for querying large-scale databases , defining data schemas , and implementing complex joins in batch pipelines . Kafka — intermediate to advanced — used to ingest real-time transaction data with message retention of 7 days and partitioned streaming for scalability. AWS — advanced — used to deploy and manage data lakes , EMR clusters , and Redshift for batch analytics and data warehousing . GCP — intermediate — used to host Cloud Storage and BigQuery for real-time analytics and data ingestion at scale. Azure — intermediate — used to deploy data pipelines on Azure Data Factory and HDInsight clusters with cost-optimized configurations . CI-CD — advanced — used to automate pipeline deployment via GitLab CI and Jenkins , with pipeline rollback and health checks triggered on every code push . Spark — advanced — used for large-scale batch processing of 10 TB+ datasets with distributed job execution and fault tolerance . When showcasing these skills, emphasize specific projects using Spark or Python , real-time Kafka ingestion, and performance metrics such as latency , throughput , and error rates . Eligibility Criteria This role is designed for candidates with a strong technical engineering background , 5+ years of hands-on experience , and proven data pipeline development in cloud environments . Must hold a Bachelor’s or higher degree in Computer Science , Electrical Engineering , or a related technical field. Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 5 years of hands-on experience in data engineering with Python , SQL , and Spark in production systems. CGPA or academic performance is not specified, but strong academic records are expected for technical rigor. Must demonstrate real-world project experience with data pipelines using Kafka , Spark , or cloud platforms . Portfolio or GitHub must include working code for data ingestion , transformation , and pipeline orchestration using Python and SQL . Documentation & Portfolio Requirements Your resume must include a clear project section with technical stack , data volume , and performance metrics for at least two projects involving Spark , Kafka , or cloud data platforms . Focus on specific projects where you built real-time data pipelines using Kafka and Spark , with measurable throughput and error rate — this is what Mastercard evaluates in interviews and technical assessments. Salary for Senior Data Engineer-4 at Mastercard 💰 Compensation Not Disclosed The advertised compensation for the Senior Data Engineer-4 role at Mastercard is Not Disclosed . 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-4 Upskilling with the right resources significantly enhances your chances of selection for this specific role by ensuring you meet the technical requirements. Recommended Courses & Resources Python — Essential for data manipulation and engineering tasks in this role. SQL — Crucial for database management and querying data effectively. AWS — Important for cloud-based data solutions and architecture. GCP — Familiarity with Google Cloud Platform enhances cloud data management skills. KodNest — Offers practical experience in data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python — Ensure to include relevant projects. ❌ Using a generic resume — Tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like Spark without details — Explain how they were applied in previous roles or projects. ❌ Ignoring the experience requirement of 5+ years — Highlight your relevant experience clearly. ❌ Adding unrelated technologies — Focus on relevant skills to maintain application relevance. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Data Engineer-4 Optimizing your resume for ATS is crucial for ensuring your application stands out for this role. ATS Keywords to Include Python SQL Kafka AWS GCP Azure CI-CD Spark Databricks DataOps Test-Driven Development dbt Resume Tips for This Role Highlight your experience with Python , as it is a critical skill for this role. Emphasize familiarity with tools like Databricks and Spark , as they are essential for the responsibilities. Showcase a project that involved building data pipelines or using cloud technologies. Use keywords from the job description naturally in your resume to align with ATS requirements. Avoid including unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated technologies or unsupported claims in your resume for this role. How to Apply for Senior Data Engineer-4 at Mastercard Apply Now — Mastercard Open the official apply URL and confirm the job title and company is correctly displayed. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience for the Senior Data Engineer-4 role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Mastercard NexisGrow.com does not charge any fees for job applications. Mastercard Mastercard is a technology company based in Hyderabad, India. This Senior Data Engineer-4 role is onsite and operates within the technology industry, focusing on payment systems and secure transaction technologies. The team designs and delivers end-to-end data pipelines using Python , SQL , Kafka , and Spark . They collaborate with engineers and operations to ensure data integrity, optimize performance, and implement robust CI-CD and data transformation workflows. This role supports Mastercard ’s mission by enabling secure, real-time data processing in payment systems. It provides early-career exposure to advanced data engineering tools and practices critical in the technology sector. Company Details Industry Technology Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 mastercard.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 5+ years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, Kafka, AWS, GCP, Azure, CI-CD, and Spark are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL concepts. 2. Familiarize yourself with Databricks and Spark. 3. Understand CI-CD practices. 4. Prepare to discuss your experience with data pipelines. 5. Be ready to demonstrate problem-solving skills. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Hyderabad, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced data engineering practices and technologies, enhancing skills in data pipeline development and cloud platforms. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your experience with Python, SQL, Spark, and any relevant projects involving data engineering. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and operations teams, focusing on data quality and efficiency. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 5+ years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Mastercard 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. 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