📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Infor 👥 Experience 1-3 years 🎓 Qualification Hands-on with Python, SQL. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Snowflake Data Engineering Data Ingestion Data Pipeline Development Semantic Layer Creation Snowflake Cortex IT Data Engineer (Snowflake) at Infor — Full Details & How to Apply Infor is seeking an IT Data Engineer (Snowflake) in Hyderabad, Telangana, India to design scalable Snowflake -based data solutions, with a focus on hands-on development of data pipelines and semantic layer creation . This role is part of Infor ’s Snowflake migration and modernization initiative, directly supporting analytics and AI capabilities through technical implementation. This IT Data Engineer (Snowflake) role is critical for advancing Infor ’s data infrastructure by enabling efficient data ingestion , pipeline development, and semantic layer creation using Snowflake . The responsibilities center on building and maintaining data solutions that support real-time analytics and AI-driven decision-making, with direct application of Snowflake , Python , and SQL in production environments. The job posting specifies that this position is within a technology company, and it emphasizes hands-on technical skills. Candidates will engage in practical development using Snowflake , Python , and SQL , with a focus on data engineering workflows and shipping experience. The role is part of Infor ’s ongoing data platform evolution, with no mention of specific client projects or industry verticals. 2023, 2024, 2025, 2026 graduates should apply if they have hands-on with Python, SQL , possess a relevant technical qualification , and have demonstrated shipping experience . The role requires 1-3 years of experience , and the salary is Not Disclosed . Candidates will gain practical experience in Python , SQL , Snowflake , Data Engineering , Data Ingestion , Data Pipeline Development , and Semantic Layer Creation . This role provides foundational experience in modern data warehousing and prepares professionals for advancement into data platform and analytics engineering roles. 📊 Role Difficulty: Medium | Competition Level: Medium | 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 IT Data Engineer (Snowflake) jobs , explore Infor recruitment , and find Hyderabad, Telangana, India jobs on NexisGrow.com to stay updated on new openings. Job Role & Responsibilities The IT Data Engineer at Infor is responsible for building and maintaining Snowflake -based data pipelines that support real-time analytics and automated reporting. This role ensures data integrity, scalability, and performance in production environments using Python , SQL , and Data Ingestion workflows. Design scalable Snowflake data solutions using Data Pipeline Development principles to support enterprise analytics and automation workflows. Implement end-to-end Data Ingestion pipelines using Python scripts and SQL to extract, transform, and load data from source systems into Snowflake . Develop and maintain Data Pipeline Development components in Snowflake , including error handling, logging, and performance monitoring using SQL and Python functions. Collaborate with cross-functional teams to enhance Snowflake adoption by implementing reusable Data Engineering patterns and shared semantic layer components. Contribute to the creation of a semantic layer in Snowflake to improve data accessibility and consistency for business users and analysts. Maintain existing Snowflake data solutions and codebases with a focus on stability, performance, and compliance with Data Ingestion SLAs. Document data engineering processes, pipeline configurations, and SQL queries used in production environments for audit and onboarding purposes. Resolve production-level issues in Snowflake data pipelines using Python debugging scripts and SQL diagnostics to restore data flow and prevent downtime. This role requires direct ownership of Data Pipeline Development and Snowflake operations, with measurable impact on data accuracy, latency, and system uptime across Infor 's enterprise platforms. Required Skills & Technical Competencies The role demands hands-on proficiency in Python , SQL , and Snowflake to execute data engineering tasks at scale. Candidates must demonstrate practical application of these tools in real-world data pipeline scenarios. Technical Skills Python — entry — used for developing automation scripts, data transformation logic, and error handling in Snowflake data pipelines. SQL — intermediate — applied for querying, schema design, and performance tuning of data in Snowflake and supporting systems. Snowflake — advanced — the primary platform for all data engineering tasks, including data modeling, ingestion, and pipeline orchestration. Data Engineering — intermediate — used to design and implement scalable data architectures within Snowflake environments. Data Ingestion — entry — implemented through direct integration of source systems into Snowflake using SQL and Python scripts. Data Pipeline Development — intermediate — executed via end-to-end pipeline design, testing, and deployment in Snowflake with version control. Semantic Layer Creation — entry — performed to standardize data definitions and improve query accessibility in Snowflake for business users. Snowflake Cortex — entry — used for managing metadata, data lineage, and automated data quality checks in Snowflake environments. When preparing a resume, emphasize specific Python scripts, SQL queries, and Snowflake pipeline implementations with measurable outcomes such as reduced latency or improved data accuracy. Eligibility Criteria This role is designed for candidates with a technical qualification in computer science, data engineering , or a related field and hands-on experience in Python , SQL , and Snowflake . Must hold a relevant technical qualification such as a B.Tech in Computer Science or Data Engineering . Must be part of eligible batches: 2023, 2024, 2025, or 2026 . Must have 1–3 years of hands-on experience in data engineering , including Python and SQL projects or internships. CGPA or academic performance is not specified, but a strong foundation in data engineering fundamentals is required. Must have demonstrated experience in building or contributing to Data Ingestion or Data Pipeline Development projects, preferably with Snowflake . Portfolio or GitHub repository showing working Python and SQL scripts for data pipelines or Snowflake implementations is essential. Documentation & Portfolio Requirements Your resume must include a clear section on Python and SQL projects, with links to GitHub or live demos of Snowflake data pipelines and Data Ingestion workflows. For this role, prioritize showcasing a GitHub repository with a working Snowflake pipeline using Python and SQL , including error handling, data validation, and performance metrics. Include a Data Ingestion script that pulls data from a source and loads it into Snowflake with a documented success rate or runtime. Salary for IT Data Engineer (Snowflake) at Infor 💰 Compensation Not Disclosed The advertised compensation for the IT Data Engineer (Snowflake) role at Infor 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 IT Data Engineer (Snowflake) Upskilling with the right resources significantly enhances your chances of selection for the IT Data Engineer (Snowflake) role by aligning your skills with job requirements. Recommended Courses & Resources Python — Essential for data manipulation and engineering tasks in this role. SQL — Crucial for querying and managing databases effectively. Semantic Layer Creation — Important for building data models and enhancing data accessibility. KodNest — Provides 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 hands-on experience with Python or SQL — ensure to include relevant projects. ❌ Using a generic resume instead of tailoring it to the specific responsibilities mentioned in the job posting — customize your resume for this role. ❌ Listing technologies like Snowflake without providing context on where they were applied — always include relevant project details. ❌ Ignoring the experience requirement of 1-3 years stated in the posting — ensure your experience aligns with this requirement. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — focus on relevant skills only. ❌ Not verifying the official Apply URL and job details before submission — always double-check before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the 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 IT Data Engineer (Snowflake) Optimizing your resume for ATS is crucial for the IT Data Engineer (Snowflake) role to ensure it passes initial screenings and highlights your qualifications effectively. ATS Keywords to Include Python SQL Snowflake Data Engineering Data Ingestion Data Pipeline Development Semantic Layer Creation Snowflake Cortex Automation AI-driven capabilities Collaboration Continuous Improvement Resume Tips for This Role Highlight your hands-on experience with Python and SQL prominently on your resume. Emphasize your familiarity with Snowflake and any relevant projects involving data pipeline development . Consider showcasing a project that involved data ingestion or semantic layer creation using Snowflake . Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for IT Data Engineer (Snowflake) at Infor Apply Now — Infor Open the official Apply URL and confirm the job title and company is correct. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately, avoiding unsupported claims or exaggerations. 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 — Infor NexisGrow.com does not charge any fees for job applications. Infor Infor is a technology company based in Hyderabad, Telangana, India. This IT Data Engineer role operates onsite and focuses on data engineering within the technology industry. The position supports Infor ’s Snowflake migration and modernization initiatives through hands-on development and innovation. The team develops scalable Snowflake -based data solutions, focusing on data ingestion , pipeline development, semantic layer creation , and AI initiatives using Snowflake Cortex . Responsibilities include building data pipelines and enabling analytics, automation, and AI-driven capabilities through collaboration with engineers and stakeholders. This role contributes to Infor ’s broader Snowflake adoption journey by advancing data engineering practices and supporting modernization projects. It emphasizes knowledge sharing and continuous improvement within the team. Early-career professionals gain exposure to core data engineering tools including Python , SQL , Snowflake , and data pipeline development . This role offers practical experience in real-world data engineering workflows and Snowflake ecosystem technologies. Company Details Industry Technology Location Hyderabad, Telangana, India Connect With Us Careers Apply Now Website 🔗 careers.infor.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification from the 2023, 2024, 2025, and 2026 batches with 1-3 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, and Snowflake 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. ? 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 Review Snowflake development, practice Python and SQL, prepare to discuss data pipeline projects, understand data engineering concepts, and be ready to demonstrate collaboration skills. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Hyderabad. ? What career exposure can this role provide? Growth Tap to expand + Answer The role provides exposure to Snowflake development, data pipeline creation, and collaboration on modernization projects. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, and Snowflake, along with relevant projects and responsibilities related to 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 stakeholders, focusing on knowledge sharing and continuous improvement. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Infor 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