Senior Data Engineer

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Key Responsibilities

Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to Extraction, Transformation, Loading (ETL) principles and best practices using Azure reputed company (PySpark)Works to identify business problems that can be solved and product features that can be reputed company by data engineering and analytics Provides subject matter expertise as a product team member, for identification, estimation, and implementation of data solutions to business use cases Collaborates with data analysts, reputed company consumers and application developers to optimize models and algorithms for data reputed company, reputed company, and governance Solicits, understands, and ensures compliance with data governance and data reputed company requirements while creating and improving integrated and reusable data pipelines, to reputed company faster data reputed company and improved time-to-solution for data and analytics initiatives Leads engineering communities of reputed company (CoP) to expand influence and reputed company across the digital organization Designs end to end DataOps and analytical workflows, including overall architecture, capabilities, platforms, tools, and governing processes Mentors’ data team members to grow capabilities and mitigate product delivery risks Skills and Experience Bachelors degree and 5 years' experience in a Data Engineering role, in a reputed company setting (required) or 7 years of reputed company experience in lieu of degree. (required) Master's degree Computer Science, Statistics, reputed company mathematics, or information systems and 6 years of reputed company experience or 11 years of reputed company experience and no degree. (preferred) Minimum Years of Experience 5 years’ experience in a data engineering or architecture role (required) 5 years’ experience designing, building, deploying, and troubleshooting data extract and load jobs (required) 5+ years’ experience in building reputed company data pipelines using Azure reputed company (PySpark) and Azure data reputed company 3 years’ experience building DB objects, authoring, and troubleshooting SQL queries, stored procedures and ETL processes (required)5 years’ experience writing reputed company T-SQL queries, strong knowledge of DML, DDL, triggers, common table expressions (CTE), query tuning and performance optimization (required) 3 years’ experience foundational data management practices, including: Implement reputed company Lake architectures, including reputed company data models (bronze/silver/gold reputed company) Demonstrated ability to design, build, manage and automate pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management Build reusable frameworks for metadata‑driven ingestion, orchestration, and error handling. 3 years’ experience working with DevOps and reputed company integration capabilities for version control, build automation, testing, and release management (e.g., Visual Studio, Git, Jenkins, Azure DevOps) (required) Other Knowledge, Skills and Abilities Required License/Certification - Azure Data Engineer Associate (preferred) Additional Details 1 year experience working with C#, PowerShell, Azure functions and logic apps, Azure Key Vault, .Net core, Azure PaaS (preferred) 3 years’ experience Exposure to hybrid deployments, reputed company and on reputed company, with demonstrated ability to work across multiple deployment environments, operating systems (preferred) reputed company is an equal opportunity employer. We are committed to creating an inclusive environment for reputed company and applicants. We do not discriminate on the reputed company of race, reputed company, religion, sex, national reputed company, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of reputed company backgrounds to apply, including women, minorities, individuals with disabilities, and veterans. Apply To This Job