Role: Senior Data Engineer Location: Dallas, TX - Onsite Duration: Contract Must Have Skills Spark 8+ Yrs of Exp Scala 8+ Yrs of Exp GCP 5+ Yrs of Exp Hive 8+Yrs of Exp SQL - 8+ Yrs of Exp ETL Process / Data Pipeline - 8+ Years of experience Responsibilities: As a Senior Data Engineer, you will Design and develop big data applications using the latest open-source technologies. Desired working in offshore model and Managed outcome Develop logical and physical data models for big data platforms. Automate workflows using Apache Airflow. Create data pipelines using Apache Hive, Apache Spark, Scala, Apache Kafka. Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support. Learn our business domain and technology infrastructure quickly and share your knowledge freely and actively with others in the team. Mentor junior engineers on the team Lead daily standups and design reviews Groom and prioritize backlog using JIRA Act as the point of contact for your assigned business domain Requirements: 8+ years of hands-on experience with developing data warehouse solutions and data products. 4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive, Scala, Airflow, or a workflow orchestration solution are required. 4 + years experience in GCP,GCS Data proc, BIG Query 2+ years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms. Experience with programming languages: Python, Java, Scala, etc. Experience with scripting languages: Perl, Shell, etc. Practice working with, processing, and managing large data sets (multi-TB/PB scale Exposure to test driven development and automated testing frameworks. Background in Scrum/Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision. Excellent verbal and written communication skills. Bachelors degree in computer science or equivalent experience.