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.

Minimum Qualifications

• Bachelors 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).

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.

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