| Azure/AWS Data Engineer - Remote at Remote, Remote, USA |
| Email: [email protected] |
| Location: Remote Duration: 8+ Months MUST HAVE 7+ years of hands-on experience in Data Engineering and ETL Minimum 3 years of experience working in AWS and Redshift, AWS Spectrum Minimum of 3 years of Azure Databricks Minimum 5 years of experience working in Oracle, SQL and PL/SQL 5+ years of hands-on experience in Linux environment and shell scripting In-depth technical knowledge of tools like AWS S3, AWS Redshift, Oracle, PL/SQL, SQL, Databricks etc. Experience in Data Modelling and Star Schema Design Ability to analyze the data dependencies and able to create source to target mapping and data lineage Experience in collaborating with business stakeholders to identify and meet data requirements Experience in using AWS services and tools to ingest, egress, and transform data from multiple sources. Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management Implemented batch & near real time data ingestion pipelines Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using AWS/Azure Cloud Data Engineering components Airflow, Databricks, etc. Excellent written and oral communication skills Ability to work with onshore/offshore team members. Good to have Proven ability to work with large cross functional teams with good communication skills. Experience on Cloud migration methodologies and processes AWS Certified Data Engineer Exposure to build CI/CD pipeline using DevOps processes and Github Ability to drive customer calls independently Ability to take ownership and work with team -- Keywords: continuous integration continuous deployment sthree information technology procedural language Azure/AWS Data Engineer - Remote [email protected] |
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| Wed Oct 09 00:18:00 UTC 2024 |