GCP Data Engineer

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals., * 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, Dataproc, 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).
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.