Data Engineer

Role Overview

• Work internal business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
• Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
• Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
• Coordinate with Privacy Compliance to ensure proper data collection and handling
• Create and implement business rules and functional enhancements for data schemas and processes
• Perform data load monitoring and resolution
• Work with internal business clients to problem solve data availability and activation issues

Requirements

• 0-2 years of hands on experience with data engineering required
• Bachelor’s Degree in related field or equivalent experience required
• Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems
• Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle
• Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation
• Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc
• Experience with containerization to include but not limited to Dockers, Kubernetes, Spark on Kubernetes, Spark Operator
• Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps)
• Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
• Creating and maintaining ETL processes
• Experience with Adobe solutions (ideally Adobe Experience Platform, DTM/Launch) and REST APIs
• Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
• Understanding of GDPR, privacy & security topics.

Tech Stack

• AWS
• Azure
• Cassandra
• Cloud
• Distributed Systems
• ETL
• Google Cloud Platform
• Gradle
• Hadoop
• HDFS
• Kafka
• Kubernetes
• Maven
• MongoDB
• NoSQL
• Oracle
• Redis
• Spark
• Subversion
• Terraform
• Webpack

Benefits

• 401K matching
• bonding leave for new parents (12 weeks, 100% paid)
• tuition assistance
• training
• GM employee auto discount
• community service pay
• nine company holidays