🚀 Hiring: Data Engineers | Hyderabad

🚀 Hiring: Data Engineers (Multi Roles) | Hyderabad (Hybrid) | Immediate Joiners 📍 Location: Hyderabad, India (Hybrid) 💼 Job Type: Full-Time / Contract (Client Requirement) ⏳ Experience: 6+ Years ⚡ Immediate Joiners Preferred Strive4X Infotech Pvt. Ltd. is hiring Data Engineers for one of our enterprise clients. We are using one job post for two similar but distinct roles. 👉 Candidates must clearly mention which role they are applying for while sending the email. 📌IMPORTANT – While Applying Please mention ONE of the following in your email subject line: - “Application – Senior Python / Data Engineer (Investment & Risk Analytics)” - OR - “Application – Data Engineer (SAP Finance | AWS | Airflow)” Applications without role selection may not be processed. ****************************************************************************************************** 🔹 Role 1: Role 1: Senior Python / Data Engineer – Investment & Risk Analytics ****************************************************************************************************** Experience: - 7+ years overall experience - Strong background in Python, SQL, financial / investment data Key Responsibilities: - Requirements gathering, technical design, and solutioning - Build and maintain risk & investment analytics platforms - Work with Python & SQL aligned with quantitative modeling - Collaborate with ERM, Capital & Investment Risk teams - Design scalable data repositories and reporting architectures - Optimize solutions and guide tool / technology selection - Develop, test, migrate solutions to production - Documentation, knowledge transfer, and process improvements Required Skills: - Python (core internals, data structures, production patterns) - SQL, relational & NoSQL databases - ETL concepts, Pandas / NumPy / PySpark - APIs, CI/CD, deployment & optimization - Exposure to investment or accounting data (bonds, derivatives) Preferred: - Moody’s Analytics / RiskFrontier or similar platforms - AWS or Azure experience - Airflow or enterprise scheduling tools - DevOps, Docker, GitHub, Jenkins ******************************************************************************************************* 🔹 Role 2: Data Engineer – SAP Finance Data Migration (AWS, Airflow, PySpark) ******************************************************************************************************* Experience: - 6+ years in Data Engineering - 2+ years hands-on with AWS & Apache Airflow Key Responsibilities: - Build ETL/ELT pipelines for SAP R/3 → S/4HANA finance migration - Develop large-scale data processing using PySpark & Hadoop - Orchestrate workflows using Apache Airflow - Integrate SAP & non-SAP data into AWS (S3, Postgres) - Support data validation, UAT, and reporting readiness - Collaborate with global teams (India & US) - Troubleshoot, optimize, and document pipelines Required Skills: - PySpark, Hadoop, distributed data processing - Apache Airflow (DAG development & monitoring) - AWS S3, Postgres (Snowflake/Redshift is a plus) - Strong SQL & Python scripting - ETL / ELT best practices Preferred: - SAP S/4HANA finance modules (GL, AP/AR, CO, FA) - SAP SLT / BODS / Data Services - BI tools: Power BI, Tableau, SAP Analytics Cloud - Agile delivery experience ************************************************************************************************************ 📩 Details Required While Sending Email Please share the following details along with role selection: - Full Name - Mobile Number - Total Experience | Relevant Experience - Current Location - Notice Period / Last Working Day - Current CTC & Expected CTC - Do you have a PF account? - Does all employment reflect in PF records? - Do you have offer / release / experience letters for previous employments? - Do you have any offer in hand? (If yes, mention CTC) - Are you open for Hybrid work from Hyderabad? - Updated Resume 📧 Email: career@strive4x.net 🔖 Hashtags #Hiring #DataEngineer #PythonJobs #PySpark #Airflow #AWSJobs #HyderabadJobs #HybridJobs #ImmediateJoiner #Strive4X #IIT #NIT #FinanceData #SAPJobs #TechHiring