Description:

Join Tiger Analytics, a fast-growing advanced analytics consulting firm, as a GCP Data Engineer.
Focus on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem.
Play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms.

Requirements:

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

Significant career development opportunities as the company grows.
Opportunity to work in a small, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Skills