Senior Data Engineer

Tech/BS degree in Computer Science, Computer Engineering, Statistics, or other Engineering disciplines\n3+ years of experience in data engineering, building scalable and reliable data pipelines in production environments.\nStrong experience with cloud data platforms, preferably Google Cloud Platform, with familiarity in services like BigQuery, Cloud Storage, and Dataflow. Experience with Amazon Web Services is a plus.\nHands-on expertise with distributed data processing frameworks such as Apache Spark for large-scale batch and/or streaming data processing.\nStrong experience with workflow orchestration tools such as Apache Airflow for designing, scheduling, and monitoring complex data pipelines.\nExpert-level SQL skills with the ability to write optimized queries, perform complex transformations, and tune queries for large-scale analytical workloads.\nProficiency in Python for data engineering tasks including pipeline development, automation, data transformations, and integration with APIs or cloud services.\nDeep understanding of data warehousing concepts and hands-on experience with platforms such as Google BigQuery or Amazon Redshift.\nStrong knowledge of data modeling techniques, including dimensional modeling, star/snowflake schemas, and designing data models optimized for analytics and reporting.\nExperience designing scalable ETL/ELT architectures, ensuring high data quality, reliability, and performance for large-scale data platforms.\n\nResponsibilities\nDesign, implementation, and improvement of processes & automation of Data infrastructure\nTuning of Data pipelines for reliability & performance\nBuilding tools and scripts to develop, monitor, troubleshoot ETLs\nPerform scalability, latency, and availability tests on a regular basis.\nPerform code reviews and QA data imported by various processes.\nInvestigate, analyze, correct and document reported data defects.\nCreate and maintain technical specification documentation.\n\nInterested share your resume to