Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to design, build, and optimize large-scale data pipelines and distributed data processing systems
The ideal candi should have strong hands-on experience across Python, Spark, SQL, and modern data engineering frameworks, along with the ability to work in a fast-paced, collaborative environment Key Responsibilities: Design, develop, and maintain scalable and reliable ETL/ELT data pipelines Work with large datasets using Python, Spark, SQL, and distributed data systems Build and optimize workflows leveraging Hadoop ecosystems and big data frameworks Implement data quality checks, validation frameworks, and performance tuning Integrate data from multiple sources and ensure efficient data flow across systems Collaborate with Product, Analytics, and Engineering teams to understand data needs Work with Airflow (preferred) for workflow orchestration and scheduling Deploy and maintain data solutions on any cloud platform (AWS/GCP/Azure preferred) Troubleshoot pipeline issues, perform root-cause analysis, and improve reliability Ensure adherence to data governance, security, and best engineering practices Required Skills: Strong expertise in Python, Spark, SQL Experience with Hadoop or other distributed processing systems Hands-on experience with any cloud platform (preferred) Familiarity with Airflow or similar orchestration tools Solid understanding of data warehousing, ETL concepts, and data modeling Excellent problem-solving, debugging, and optimization skills