Data Engineer Google Cloud

We are seeking a mid-level GCP Data Engineer with 5 years of experience in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands- on experience with GCP tools, solid data analysis skills, and a strong understanding of Data Warehousing principles.

Qualifications:

• 5 years of experience in ETL & Data Warehousing
• Should have excellent leadership & communication skills
• Should have experience in developing Data Engineering solutions Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/ Sub, Cloud Run, etc.
• Should have built solution automations in any of the above ETL tools
• Should have executed at least 2 GCP Cloud Data Warehousing projects
• Should have worked at least 2 projects using Agile/SAFe methodology
• Should Have mid level experience in Pyspark and Teradata
• Should have working experience on any DevOps tools like GitHub, Jenkins, Cloud Native, etc & on semi-structured data formats like JSON, Parquet and/or XML files & written complex SQL queries for data analysis and extraction
• Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling,Data Quality & Data Mapping
• Responsibilities:
• Analyze the different source systems, profile data, understand, document & fix Data Quality issuesParagraph
• Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end users
• Write complex SQLs to extract & format source data for ETL/data pipeline
• Create design documents, Source to Target Mapping documents and any supporting documents needed for deployment/migration
• Design, Develop and Test ETL/Data pipelines
• Design & build metadata-based frameworks needs for data pipelines
• Write Unit Test cases, execute Unit Testing and document Unit Test results
• Deploy ETL/Data pipelines
• Use DevOps tools to version, push/pull code and deploy across environments
• Support team during troubleshooting & debugging defects & bug fixes, business requests, environment migrations & other adhoc requests
• Do production support, enhancements and bug fixes
• Work with business and technology stakeholders to communicate EDW incidents/problems and manage their expectations
• Leverage ITIL concepts to circumvent incidents, manage problems and document knowledge
• Perform data cleaning, transformation, and validation to ensure accuracy and consistency across various data sources
• Stay current on industry best practices and emerging technologies in data analysis and cloud

• Private Health Insurance
• Paid Time Off
• Performance Bonus