Senior GCP Data Engineer

JOB TITLE: Sr. Data Engineer

EDUCATION / QUALIFICATIONS / EXPERIENCE :

B.S. in Computer Science, Information Systems, or related field required, or 8+ years equivalent experience in data engineering.

Proven experience designing, building, and optimizing cloud-native, scalable, cost-efficient data pipelines and architectures, particularly on Google Cloud Platform (preferred); familiarity with AWS or Azure is a plus.

Advanced skills in Python and SQL, familiarity with dbt, Airflow, Terraform, CI/CD pipelines.

Experience with batch and streaming technologies such as Kafka, Spark, Dataflow, and Pub/Sub.

Expertise with GCP-native tools such as BigQuery, Cloud Functions, Cloud Workflows, GCS, and Datastream.

Skilled at balancing performance, reliability, and cost.

Demonstrated ability to implement automated monitoring, alerting, and data quality checks for production-grade data pipelines.

Experience with relational and NoSQL databases, such as Postgres, SQL Server and Cassandra.

Practical knowledge of data modeling and design for OLTP, OLAP, and real-time systems to support analytics, operations, and ML use cases.

Familiarity with AI/ML workflows, including feature engineering, model training, and real-time inference; experience with Vertex AI or similar platforms is a plus.

Exposure to enterprise SaaS and ERP integrations (e.g., Oracle Cloud ERP, Salesforce, Workday, Ironclad, Replicon) and partnerships with external data vendors.

Understanding of data governance practices, including lineage, metadata, access controls, and privacy compliance (e.g., HIPAA, CCPA, etc.).

Comfortable working in Agile/Scrum environments, contributing to iterative delivery, sprint planning, and technical scoping.

Proven ability to work cross-functionally with data analysts, product managers, privacy, security, and business teams to deliver trusted, actionable data products.

Strong problem-solving skills with experience in root cause analysis, writing postmortems, and driving incident resolution and continuous improvement in data platforms.