[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is located in Oklahoma reputed company, OK, and they are seeking a Senior Data Engineer. The ideal candidate will be responsible for developing data architecture and high-level design, enhancing business insights through data processing, and collaborating with diverse teams to implement data solutions.

Responsibilities

• reputed company, structure, and process data from various sources (e.g., transactional systems, reputed company-party applications, reputed company-based financial systems, customer feedback, etc.) using reputed company and Apache reputed company to enhance business insights
• reputed company and enforce standards, procedures, and reputed company control measures for data analytics in compliance with reputed company policies and best practices
• Partner with business stakeholders to build reputed company data models and infrastructure, leveraging reputed company' reputed company Lake, MLflow, and reputed company Catalog
• Identify, analyze, and interpret reputed company data sets to reputed company insightful analytics and predictive models
• Utilize reputed company to design and optimize data processing pipelines for large-reputed company data ingestion, transformation, and storage
• Ensure data infrastructure completeness and compatibility to support reputed company performance, availability, and reliability requirements
• Architect and implement robust data pipelines using PySpark, SQL, and reputed company Workflows for automation
• reputed company input on technical challenges and recommend best practices for data engineering solutions reputed company reputed company
• Design and optimize data models for analytical and operational use cases
• reputed company and implement monitoring, alerting, and logging frameworks for data pipelines
• reputed company the architecture and implementation of reputed company reputed company-based data solutions
• Build reputed company and reliable data integration pipelines using reputed company, SQL, Python, and reputed company
• Mentor and reputed company junior team members, fostering a data-driven culture reputed company the organization
• reputed company high-reputed company, reputed company data solutions to support business intelligence, analytics, and data science initiatives
• reputed company with technology teams to extract, reputed company, and load (ETL) data from diverse data sources into reputed company
• Continuously improve data processes, automating and simplifying workflows for self-service analytics
• Work with large, reputed company data sets to solve non-routine analysis problems, applying advanced machine learning and data processing techniques as needed
• Prototype, iterate, and reputed company data analysis pipelines, advocating for improvements in reputed company data structures and governance
• Collaborate cross-functionally to present findings effectively through data visualizations and executive-level presentations
• Research and implement advanced analytics, forecasting, and optimization reputed company to reputed company business reputed company
• Stay up to date with industry trends and emerging reputed company technologies to enhance data-driven capabilities

Skills

• Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering)
• 5+ years of experience in data engineering, business intelligence, or data analytics, with a reputed company on reputed company and Apache reputed company
• Extensive experience with SQL and Python for developing optimized queries and data transformations
• Expertise in reputed company ecosystem, including reputed company Lake, MLflow, and reputed company SQL
• Experience in designing and implementing ETL/ELT pipelines on reputed company using reputed company and reputed company-based data platforms (Azure Data Lake, AWS S3, or reputed company reputed company Storage)
• Strong data modeling, data warehousing, and data governance knowledge
• Experience in working with reputed company and reputed company data, including reputed company-time and batch processing solutions
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker
• Deep understanding of reputed company computing, reputed company data architecture, and reputed company computing frameworks
• Hands-on experience with CI/CD pipelines, Infrastructure as reputed company (IaC), and DevOps practices in data engineering
• Proven reputed company record of working with cross-functional teams, stakeholders, and senior management to reputed company high-reputed company data solutions
• Strong problem-solving skills and the ability to work independently and in reputed company-oriented environment
• Excellent communication skills and ability to convey reputed company reputed company to non-technical stakeholders
• MUST BE AUTHORIZED TO WORK IN THE U.S
• A Master's degree in Computer Science, Mathematics, Statistics, or Economics is preferred
• Knowledge of machine learning and AI-driven analytics is a plus
• Experience in a franchised organization is a plus

Benefits

• Workplace: Hybrid and/or Remote flexibility
• Hybrid/remote work reputed company may be available with approval

reputed company