We are seeking a talented Senior Data Engineer to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that power our data-driven decision-making processes.

Design, develop, and maintain robust data pipelines using Python, PySpark, and Hadoop ecosystem Build and optimize complex SQL queries and stored procedures for data extraction and transformation Implement ETL/ELT processes to integrate data from multiple sources Develop and maintain data warehousing solutions and ensure data quality and integrity Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Optimize data processing workflows for performance and scalability Monitor and troubleshoot data pipeline issues and implement solutions Establish best practices for data engineering and mentor junior team members Work with cloud platforms (AWS/Azure/GCP) for data storage and processing

5-8 years of hands-on experience in data engineering roles Strong proficiency in Python for data processing and automation Extensive experience with Hadoop ecosystem (HDFS, Hive, MapReduce) Expert-level knowledge of PySpark for large-scale data processing Advanced SQL skills with experience in query optimization Experience with data warehousing concepts and dimensional modeling Strong understanding of ETL/ELT design patterns and best practices Familiarity with version control systems (Git) and CI/CD practices Experience with cloud platforms (AWS/Azure/GCP) is a plus Excellent problem-solving and analytical skills Strong communication and collaboration abilities