DE&A - Data Engineer

Data Management & Governance

Ensure data quality, integrity, and reliability through robust validation and monitoring frameworks.
Implement best practices for data lineage, metadata management, and data cataloging using tools like Data Catalog and Looker.
Collaborate with data governance, security, and compliance teams to enforce data access controls and encryption.

Collaboration & Leadership

Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
Provide technical mentorship and code reviews for junior data engineers.
Contribute to architecture reviews and technology evaluations for continuous improvement of the data platform.

Preferred Qualifications

GCP Professional Data Engineer Certification or equivalent.
Experience with Looker, dbt (data build tool), or similar data modeling tools.
Prior work with streaming data architectures and technologies such as Kafka, Spark Streaming, or Flink.
Experience in data privacy, GDPR/CCPA compliance, and implementing data security at rest and in transit.
Exposure to DevOps and container orchestration tools (e.g., Kubernetes, Cloud Run).
Strong analytical and problem-solving skills with attention to performance and scalability.

Minimum Qualifications

Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
Proven experience with GCP services such as:
BigQuery
Dataflow / Apache Beam
Pub/Sub
Cloud Storage
Cloud Composer (Airflow)
Cloud Functions
Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).

See also