Data Engineer (GCP+Teradata)

We are looking for a skilled and motivated Data Engineer with at least 4 years of experience in GCP, Teradata, and Data Warehousing. The ideal candidate should have hands-on expertise in developing robust data engineering solutions on Google Cloud Platform (GCP) and working experience with Teradata. You must be proficient in designing and automating scalable data pipelines and possess excellent leadership, communication, and collaboration skills. Your responsibilities will include analyzing source systems, profiling data, and resolving data quality issues. You will be required to gather and comprehend business requirements for data transformation, design, develop, test, and deploy ETL/data pipelines using GCP services and Airflow. Additionally, writing complex SQL queries for data extraction, formatting, and analysis, creating and maintaining Source to Target Mapping, and designing documentation will be part of your role. You will also need to build metadata-driven frameworks for scalable data pipelines, perform unit testing, and document results, utilize DevOps tools for version control and deployment, provide production support, enhancements, and bug fixes, troubleshoot issues, and support ad-hoc business requests. Collaboration with stakeholders to resolve EDW incidents, manage expectations, apply ITIL concepts for incident and problem management, perform data cleaning, transformation, and validation, and stay updated on GCP advancements and industry best practices are also key responsibilities. Requirements: - Minimum 4 years of experience in ETL and Data Warehousing - Hands-on experience with GCP services such as BigQuery, Dataflow, Cloud Storage, etc. - Experience in Apache Airflow for workflow orchestration - Experience in automating ETL solutions - Experience in executing at least 2 GCP Cloud Data Warehousing projects - Exposure to Agile/SAFe methodologies in at least 2 projects - Mid-level proficiency in PySpark and Teradata - Strong SQL skills and experience working with semi-structured data formats like JSON, Parquet, XML - Experience with DevOps tools like GitHub, Jenkins, or similar - Deep understanding of Data Warehousing concepts, data profiling, quality, and mapping Preferred Qualifications: - B.Tech/B.E. in Computer Science or a related field - Google Cloud Professional Data Engineer Certification - Strong leadership and communication skills ,