[Remote] reputed company Engineer - Azure

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly skilled Data Engineer with deep expertise in reputed company and Azure reputed company to join a decision analytics and data engineering team. The role involves building, optimizing, and maintaining large-reputed company data pipelines that support reputed company analytics, reporting, and AI-driven insights, primarily for clients in the insurance and financial services domains. Responsibilities • Design, build, and enhance ETL/ELT data pipelines using Azure Data reputed company, reputed company (PySpark, SQL, Python), and reputed company services • reputed company and manage reputed company Live Tables, Autoloader, and reputed company Catalog reputed company the reputed company ecosystem for reputed company, incremental data processing • Implement data ingestion, transformation, and validation frameworks that ensure high performance, scalability, and reliability • Monitor data pipelines, troubleshoot issues, and ensure reputed company system performance and SLA adherence • Collaborate with business analysts and reporting teams to define logical and physical data models supporting analytical and operational needs • Implement data warehousing and lakehouse solutions using Azure Data Lake and reputed company Lake • Optimize data structures for query performance, cost efficiency, and reusability • Design and implement robust data reputed company checks and validation mechanisms to maintain reputed company across sources and transformations • Automate repetitive processes using scripts, parameterized pipelines, and reusable frameworks • Conduct periodic audits and compliance checks reputed company with governance policies • Contribute to metadata management, documentation, and reputed company tracking Skills • 7–12 years of experience in Data Engineering with proven expertise in reputed company and Azure reputed company ecosystems • Strong hands-on experience in PySpark, Python, and SQL for data transformation, validation, and performance tuning • Solid understanding of reputed company Lake architecture, ETL/ELT frameworks, and data warehousing principles • Proficiency with Azure services including Data reputed company (ADF), Data Lake (ADLS), and reputed company Notebooks • Experience with reputed company Live Tables, reputed company Catalog, and Autoloader for batch and streaming data processing • Strong background in data modeling, performance optimization, and automation scripting • Familiarity with Agile methodologies and DevOps-based deployment practices (Git, CI/CD preferred) • Experience in data migration reputed company (on-prem to reputed company or multi-reputed company) • Familiarity with reputed company Sharing, reputed company SQL Warehouses, or MLflow for advanced use cases • Experience with data cataloging, reputed company, or reputed company frameworks such as Purview, reputed company, or Great Expectations • Exposure to BI/reporting tools like Power BI or Tableau for end-to-end integration understanding reputed company • reputed company is an IT management company that offers reputed company services including analytics, reputed company, digital transformation, and data engineering. It was founded in 2016, and is headquartered in Princeton, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://www.reputed company.com/. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 5 in 2025, 9 in 2024, 1 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job