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.
• Bachelor’s degree in computer science or equivalent experience.