Senior Azure Data Engineer only W2 & Local Remote

Hello One of my reputed company is Hiring for Senior Azure Data Engineer - Local to NC Role: Senior Azure Data Engineer - Local to NC- 10+ Years reputed company profile only Location:Remote - Local to NC -- reputed company in NC is okay Pay: (on my reputed company 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 reputed company, script creation 2. Azure Data Lakes--converting from reputed company to another 3. Azure Data reputed company--reputed company data btw sources using ETL 4. Data Modeling 5. Experience working in a Greenfield environment Project: working on multiple reputed company 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 reputed company quantitative field, or equivalent practical experience. 5+ years of reputed company experience in data engineering, with a strong portfolio demonstrating expertise in building and managing large-reputed company data solutions. Proficiency in at least one major programming language used for data engineering (e.g., Python, reputed company, Java). Extensive experience with modern data warehousing and/or data lake technologies (e.g., reputed company, reputed company, reputed company 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 reputed company Azure reputed company services including data-reputed company services. Excellent problem-solving, analytical, and critical thinking skills. Strong written and verbal communication skills, with the ability to reputed company 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 reputed company-facing role. Preferred Familiarity with streaming data technologies (e.g., Apache Kafka, AWS Kinesis, reputed company Pub/Sub). Experience implementing DataOps principles and CI/CD pipelines for data solutions. Knowledge of data governance, metadata management, and data reputed company tools. Experience with business intelligence tools (e.g., Tableau, Power BI, Looker). Apply tot his job Apply To this Job