About the job Senior Data Engineer (GCP)
LOCATIONS: LATAM / FULLY REMOTE
Role Overview:
Are you a seasoned Data Engineer with comprehensive experience in Enterprise Data Warehouses, modern API development, and Google Cloud Platform (GCP) services? We are in search of an expert who not only has a deep understanding of managing platform-related automation tasks but can also operationalize Data Warehouses, Data Lakes, Automation tasks, and Analytics platforms on GCP.
Key Technical Experience Required:
- At least 5 years of direct involvement in Enterprise Data Warehouse technologies.
- Minimum of 5 years of experience in software development for automation using languages such as Java, Python, and SQL.
- At least 5 years of hands-on expertise with GCP Cloud data projects (Dataflow, Cloud Composer, Big Query, Cloud Storage, etc.)
- Minimum 5 years in designing and deploying large-scale distributed data processing systems using technologies like MySQL, MemSQL, PostgreSQL, MongoDB, Hadoop, Spark, HBase, Teradata.
- Proven experience with modern API development.
Key Skills:
- GCP Services: Proficiency in Storage & Databases such as Cloud Storage, Cloud SQL, Cloud Datastore, Cloud Source Repositories, and Cloud Spanner.
- Big Data Tools: Expertise in BigQuery, Cloud Dataflow, Dataproc, and Cloud Datalab.
- Languages & Tools: Strong skills in Python and familiarity with Pub/Sub.
- Automations: Expertise in setting up Automations & Triggers.
- Other Skills: Fluent in English, excellent communication, self-driven, and innovative.
Preferred Credentials:
- Google Professional Data Engineer Certification.
Nice-to-Have Skills:
- Business Intelligence proficiency, especially with tools like Looker or Data Studio.
Position Specifics:
- Assessment Path: Data Engineering
- Contract Type: MSA signed
- Location: Open, but preference given to LATAM
- Working Hours: 6-8 hours overlap with US Eastern Standard Time (EST) business hours.
- Essential Tech Stack: Must be proficient with GCP, Data Storage, Cloud Compute, Python, Apache Kafka, BigQuery, and Looker.
We are keen to onboard a professional who isn't just skilled but also aligns with our dedication to delivering exceptional solutions. If you're someone who thrives in a high-paced, challenging, and collaborative environment, then we'd love to have you on our team.