Data Engineer - Expert in pyspark

About the Role:We’re looking for a Senior Software Engineer (Data Engineer – PySpark Expert) who can design, build, and optimize scalable data pipelines and solutions. You’ll play a key role in transforming large-scale datasets into actionable insights while collaborating with cross-functional teams across data, analytics, and engineering.Key Responsibilities:Design, develop, and maintain ETL pipelines using PySpark and other big data frameworks.Work with AWS, Azure, and Databricks to build scalable and high-performance data systems.Optimize data flows for speed, reliability, and scalability.Integrate data from multiple sources, ensuring consistency and data quality.Collaborate with data scientists, analysts, and software engineers to support data-driven decisions.Implement data governance, quality checks, and documentation for all data processes.Troubleshoot and resolve performance and data integrity issues.Required Skills & Experience:✔️ 4–8 years of hands-on experience in Data Engineering / Big Data. ✔️ Strong command of PySpark, Spark SQL, and Python. ✔️ Proficiency with cloud platforms (AWS / Azure) and Databricks. ✔️ Experience working with data lakes, data warehouses, and ETL processes. ✔️ Familiarity with CI/CD pipelines, version control (Git), and automation tools. ✔️ Understanding of SQL, NoSQL, and modern data architectures. ✔️ Excellent problem-solving and analytical skills.Good to Have:Knowledge of Delta Lake, Airflow, or Kafka.Experience in performance tuning of Spark jobs.Exposure to machine learning pipelines or data visualization tools.Why Join Devrolls: 🌟 Competitive salary and benefits package 🌟 Work on global-scale data projects 🌟 Collaborative and innovative work culture 🌟 Continuous learning & upskilling opportunitiesHow to Apply:If you’re passionate about building scalable data systems and want to work with modern cloud technologies — apply now!📧 Send your resume to hr@devrolls.com