Senior Azure Data Engineer only W2 & Local Remote

Hello One of my Client is Hiring for Senior Azure Data Engineer - Local to NC Role: Senior Azure Data Engineer - Local to NC- 10+ Years Exp profile only Location:Remote - Local to NC -- Anywhere in NC is okay Pay: (on my Client W2 directly) • Will be mostly remote with 1 day onsite per month* Top Skills: 1. Extensive Azure SQL Server experience--optimizing table, creating indexes, use analytics to set access, script creation 2. Azure Data Lakes--converting from source to another 3. Azure Data Factory--move data btw sources using ETL 4. Data Modeling 5. Experience working in a Greenfield environment Project: working on multiple projects to optimize SQL Server schema, entire Data Modeling and Analytics of greenfield, ETL, taking documents & extracting data for reports, etc. Qualifications Required Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. 5+ years of progressive experience in data engineering, with a strong portfolio demonstrating expertise in building and managing large-scale data solutions. Proficiency in at least one major programming language used for data engineering (e.g., Python, Scala, Java). Extensive experience with modern data warehousing and/or data lake technologies (e.g., Snowflake, Databricks, Google BigQuery, Azure Synapse/Data Lake, AWS Redshift). Demonstrated experience designing and implementing ETL/ELT pipelines using various tools and frameworks. Strong understanding of data modeling principles, database design (relational and NoSQL), and SQL optimization. Deep experience with Microsoft Azure cloud services including data-related services. Excellent problem-solving, analytical, and critical thinking skills. Strong written and verbal communication skills, with the ability to articulate technical concepts to diverse audiences. Proven ability to be self-driven, adaptable, and manage multiple priorities in a fast-paced environment. Prior experience in a consulting or client-facing role. Preferred Familiarity with streaming data technologies (e.g., Apache Kafka, AWS Kinesis, Google Pub/Sub). Experience implementing DataOps principles and CI/CD pipelines for data solutions. Knowledge of data governance, metadata management, and data lineage tools. Experience with business intelligence tools (e.g., Tableau, Power BI, Looker). Apply tot his job Apply To this Job