Senior Data Engineer

<h3>📋 Description</h3> • Join SADA as a Senior Data Engineer (ESS)! • As a Sr Data Engineer at SADA, you will ensure our customers’ support issues are handled effectively. You will work with highly skilled support engineers focused on providing Google Cloud Platform Data Engineering solutions, including BigQuery, Cloud SQL, Google Cloud Monitoring, and related Google services. The Data Engineer is responsible for providing technical assistance and guidance to team members and customers, updating knowledge articles, and enacting improvements to our ServiceNow incident management system, as well as being a SADA ambassador to our clients. Participating in on-call rotations, the Data Engineer must also be technically adept with Google products and be able to seamlessly and effectively partner with other SADA work groups, our partners, and our customers. SADA ESS delivers 24x7 support from a variety of locations around the world. • This is primarily a customer-facing role. You will also work closely with SADA’s Customer Experience team to execute on their recommendations to our customers. • Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in Google Cloud Platform. • Your success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. • As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. • Required Travel - 10% travel to customer sites, conferences, and other related events. Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. • Onboarding/Training - Ongoing with first-week orientation followed by a 90-day onboarding schedule. Details of the timeline can be shared. <h3>🎯 Requirements</h3> • Google Professional Data Engineer Certified or able to complete within the first 45 days of employment • A secondary Google Cloud certification in any other specialization • 5+ years of experience writing software in at least two or more languages such as Python, Java, Scala, or Go • Experience in supporting customers preferably in 24/7 environments • Experience in building production-grade data solutions (relational and NoSQL) • Experience with systems monitoring/alerting, capacity planning, and performance tuning • Experience with BI tools like Tableau, Looker etc will be an advantage • Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions • Exposure to at least one of the following: • Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues • Data Integration Tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud • Support Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration.