Pune, Maharashtra, India
Information Technology
Full-Time
RAPSYS TECHNOLOGIES PTE LTD
Overview
🌟 We're Hiring: PySpark Data Engineer! 🌟
We are seeking an experienced PySpark Data Engineer to design, develop, and maintain large-scale data processing systems. The ideal candidate will have expertise in Apache Spark, Python, and big data technologies to build robust data pipelines and analytics solutions.
📍 Location: Hyderabad, India
⏰ Work Mode: Flexible office & remote
💼 Role: PySpark Data Engineer
What You'll Do
🎯 Design and develop scalable data pipelines using PySpark
📊 Optimize data processing workflows for performance and reliability
🔧 Build ETL processes for large datasets across multiple sources
☁️ Deploy and maintain data solutions on cloud platforms
📈 Collaborate with data scientists and analysts on data requirements
🛠️ Troubleshoot and resolve data quality issues
What We're Looking For
✅ 7+ years of experience in data engineering
✅ Strong expertise in PySpark and Apache Spark ecosystem
✅ Proficiency in Python, SQL, and big data technologies, Airflow, DevOps & Orchestration, Stakeholder Management, Banking/ Telecom Domain
✅ Experience with cloud platforms (AWS/Azure/GCP)
✅ Knowledge of data warehousing and distributed systems
✅ Strong problem-solving and analytical skills
Ready to make an impact? 🚀 Apply now and let's grow together!
We are seeking an experienced PySpark Data Engineer to design, develop, and maintain large-scale data processing systems. The ideal candidate will have expertise in Apache Spark, Python, and big data technologies to build robust data pipelines and analytics solutions.
📍 Location: Hyderabad, India
⏰ Work Mode: Flexible office & remote
💼 Role: PySpark Data Engineer
What You'll Do
🎯 Design and develop scalable data pipelines using PySpark
📊 Optimize data processing workflows for performance and reliability
🔧 Build ETL processes for large datasets across multiple sources
☁️ Deploy and maintain data solutions on cloud platforms
📈 Collaborate with data scientists and analysts on data requirements
🛠️ Troubleshoot and resolve data quality issues
What We're Looking For
✅ 7+ years of experience in data engineering
✅ Strong expertise in PySpark and Apache Spark ecosystem
✅ Proficiency in Python, SQL, and big data technologies, Airflow, DevOps & Orchestration, Stakeholder Management, Banking/ Telecom Domain
✅ Experience with cloud platforms (AWS/Azure/GCP)
✅ Knowledge of data warehousing and distributed systems
✅ Strong problem-solving and analytical skills
Ready to make an impact? 🚀 Apply now and let's grow together!
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