Senior GCP Data Engineer with Retail Domain Experience

Cloudious•Sunnyvale, CA

4d•Onsite

About The Position

As a Senior Data Engineer, you will design and develop big data applications using the latest open source technologies. You will develop logical and physical data models for big data platforms, automate workflows using Apache Airflow, and create data pipelines using Apache Hive, Apache Spark, and Apache Kafka. You will also provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support. The role requires quickly learning the business domain and technology infrastructure and sharing knowledge freely and actively with others in the team. Additionally, you will mentor junior engineers, lead daily standups and design reviews, groom and prioritize backlog using JIRA, and act as the point of contact for your assigned business domain. Experience working in an offshore model and managed outcome is desired.

Requirements

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.

Nice To Haves

Gitflow
Atlassian products – BitBucket, JIRA, Confluence etc.
Continuous Integration tools such as Bamboo, Jenkins, or TFS

Responsibilities

Design and develop big data applications using the latest open source technologies.
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.
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.