Senior GCP Data Engineer

Senior GCP Data Engineer

Location: Sunnyvale, CA/Bentonville, AR - onsite

Duration: 12-month engagement

Must have: Walmart ex-employees / ecommerce / retail exp

GCP, Python / scala, pyspark Requirements:

GCP Experience • 4+ years of recent GCP experience • Experience building data pipelines in GCP • GCP Dataproc, GCS & BIGQuery experience • 10+ years of hands-on experience with developing data warehouse solutions and data products. • 6+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required • 5+ years of hands-on experience in modeling 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. The most successful candidates will also have experience in the following: • Gitflow • Atlassian products – BitBucket, JIRA, Confluence etc. • Continuous Integration tools such as Bamboo, Jenkins, or TFS

Responsibilities: As a Senior GCP 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, 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.