GCP Data Engineer

Role: GCP Data Engineer Location: NYC OR Irving TX (Onsite) Duration: 12 months We are looking for an experienced GCP Data Engineer (Integration) to contribute to the migration of a legacy data warehouse to a Google Cloud–based platform for a leading telecom client. The ideal candidate will have strong hands-on experience with SQL, Python, and Google Cloud Data Technologies and the ability to design and optimize complex data pipelines in large-scale environments. Responsibilities • Lead and contribute to the migration of legacy Teradata data warehouse to Google Cloud (BigQuery) environment. • Develop and maintain complex data transformation pipelines using a custom ETL framework in BigQuery. • Collaborate with Data Product Managers, Data Architects, and other stakeholders to design and implement scalable data solutions. • Architect and build high-performance data pipelines and data marts on Google Cloud. • Design, develop, and optimize ETL/ELT processes using BigQuery, Airflow, and Python. • Maintain detailed documentation of all development work to ensure data quality, data lineage, and governance. • Support QA/UAT testing and deployment activities to higher environments. • Monitor data pipeline performance and ensure operational efficiency and compliance with SLAs. • Actively participate in Agile/Scrum processes and contribute to team improvements. Basic Qualifications • 8+ years of experience in data engineering, building and maintaining large-scale, complex data pipelines. • Strong proficiency in SQL, with proven ability to optimize complex queries. • Hands-on experience with Google Cloud Data Technologies — BigQuery, GCS, Dataflow, Pub/Sub, Data Fusion, Cloud Functions. • Strong programming skills in Python. • Proven experience in developing and debugging Airflow jobs. • Working knowledge of Teradata and ability to interpret complex BTEQ scripts. Preferred Qualifications • Experience migrating data from Teradata to BigQuery. • Familiarity with Cloud Data Proc, Pub/Sub, Dataflow, and Data Fusion. • Proficiency with job orchestration tools (e.g., Airflow) for building complex workflows. • Experience automating ETL processes using Python and shell scripting (Bash). • Strong understanding of data modeling techniques and data warehousing best practices. • Proficient with version control systems such as GitHub. • Familiar with Agile/Scrum development methodology. • Strong problem-solving and analytical skills with excellent communication abilities. • Experience working in an onsite/offshore model and leading teams effectively