GCP Data Engineer

TechDigital Group; Seattle (WA); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading tech company located in Seattle is seeking a GCP Data Engineer to develop and manage large-scale cloud data processing systems. Responsibilities include designing scalable data solutions on GCP, ensuring data access transparency, and collaborating with technical teams. The ideal candidate will have over 5 years of experience using technologies like Python, Java, and GCP, as well as skills in data management, cloud technologies, and strong problem-solving abilities.

Qualifications

• 5+ years of experience in an engineering role using Python, Java, Spark, and SQL.
• 5+ years of experience working as a Data Engineer in GCP.
• Demonstrated proficiency with Google's Identity and Access Management (IAM) API.

Responsibilities

• Design, develop, and implement scalable, high-performance data solutions on GCP.
• Ensure changes to data access permissions are reflected in the Tableau dashboard within 24 hours.
• Collaborate with technical and business users to manage data sets across multiple projects.

Skills

Python

Java

Spark

SQL

Airflow

Linux/Unix

Scala

GitHub

Jenkins

Terraform

Education

Bachelor's degree in Computer Engineering or a related field

Tools

GCP

HDFS

Impala

Hive

Kafka

Pub/Sub

Dataflow

Job description

The GCP Data Engineer will be responsible for constructing and developing large-scale cloud data processing systems within the Google Cloud Platform (GCP). This role involves curating a comprehensive data set that includes information about users, groups, and their permissions to various data sets. The engineer will redesign and implement a scalable data pipeline to ensure timely updates and transparency in data access.

REQUIRED SKILLS

• 5+ years of experience in an engineering role using Python, Java, Spark, and SQL.
• 5+ experience working as a Data Engineer in GCP
• Demonstrated proficiency with Google's Identity and Access Management (IAM) API
• Demonstrated proficiency with Airflow

Key Responsibilities

• Design, develop, and implement scalable, high-performance data solutions on GCP.
• Ensure that changes to data access permissions are reflected in the Tableau dashboard within 24 hours.
• Collaborate with technical and business users to share and manage data sets across multiple projects.
• Utilize GCP tools and technologies to optimize data processing and storage.
• Re-architect the data pipeline that builds the BigQuery dataset used for GCP IAM dashboards to make it more scalable.
• Run and customize DLP scans.
• Build bidirectional integrations between GCP and Collibra.
• Explore and potentially implement Dataplex and custom format-preserving encryption for de-identifying data for developers in lower environments.

Qualifications – Required

• Bachelor's degree in Computer Engineering or a related field.
• 5+ years of experience in an engineering role using Python, Java, Spark, and SQL.
• 5+ years of experience working as a Data Engineer in GCP.
• Proficiency with Google's Identity and Access Management (IAM) API.
• Strong Linux/Unix background and hands-on knowledge.
• Experience with big data technologies such as HDFS, Spark, Impala, and Hive.
• Experience with Shell scripting and bash.
• Experience with version control platforms like GitHub.
• Experience with unit testing code.
• Experience with development ecosystems including Jenkins, Artifactory, CI/CD, and Terraform.
• Demonstrated proficiency with Airflow.
• Ability to advise management on approaches to optimize for data platform success.
• Ability to effectively communicate highly technical information to various audiences, including management, the user community, and less-experienced staff.
• Proficiency in multiple programming languages, frameworks, domains, and tools.
• Coding skills in Scala.
• Experience with GCP platform development tools such as Pub/Sub, Cloud Storage, Bigtable, BigQuery, Dataflow, Dataproc, and Composer.
• Knowledge in Hadoop and cloud platforms and surrounding ecosystems.
• Experience with web services and APIs (RESTful and SOAP).
• Ability to document designs and concepts.
• API Orchestration and Choreography for consumer apps.
• Well-rounded technical expertise in Apache packages and hybrid cloud architectures.
• Pipeline creation and automation for data acquisition.
• Metadata extraction pipeline design and creation between raw and transformed datasets.
• Quality control metrics data collection on data acquisition pipelines.
• Experience contributing to and leveraging Jira and Confluence.
• Strong experience working with real-time streaming applications and batch-style large-scale distributed computing applications using tools like Spark, Kafka, Flume, Pub/Sub, and Airflow.
• Ability to work with different file formats like Avro, Parquet, and JSON.
• Hands-on experience in Analysis, Design, Coding, and Testing phases of the Software Development Life Cycle (SDLC)