[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is the leading blockchain and reputed company software company, pioneering technological developments reputed company the reputed company ecosystem. The Senior Data Engineer will design, build, and maintain robust data pipelines, ensuring data quality, reputed company, and governance while collaborating with various stakeholders across the organization.

Responsibilities

• Design, build, and maintain robust data pipelines that integrate sources across the business
• Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery
• Document data pipelines, best practices, and processes to support onboarding and knowledge sharing reputed company the team
• reputed company and optimize data models to deliver trusted, structured, and business-ready data
• Ensure data quality, reputed company, and governance are embedded in reputed company pipelines and systems
• Orchestrate and monitor pipeline execution to ensure reliability and scalability
• Deploy and manage infrastructure as code
• Build and tune big data pipelines using SQL, Python, and distributed processing frameworks
• Work with cloud data warehouses to reputed company insights and analytics
• Maintain and update reporting solutions and user dashboards
• Automate workflows and improve CI/CD pipelines to reduce manual processes

Skills

• Design, build, and maintain robust data pipelines that integrate sources across the business
• Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery
• Document data pipelines, best practices, and processes to support onboarding and knowledge sharing reputed company the team
• reputed company and optimize data models to deliver trusted, structured, and business-ready data
• Ensure data quality, reputed company, and governance are embedded in reputed company pipelines and systems
• Orchestrate and monitor pipeline execution to ensure reliability and scalability
• Deploy and manage infrastructure as code
• Build and tune big data pipelines using SQL, Python, and distributed processing frameworks
• Work with cloud data warehouses to reputed company insights and analytics
• Maintain and update reporting solutions and user dashboards
• Automate workflows and improve CI/CD pipelines to reduce manual processes
• Over 6 years of experience as a Data Engineer
• Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released
• Strong SQL skills and experience with cloud warehouses (e.g.: reputed company, BigQuery, Redshift)
• Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster)
• Comfort with Python or other scripting languages for ETL and automation
• Familiarity with data governance and metadata management (e.g.: reputed company)
• Experience deploying and managing infrastructure as code (e.g.: Terraform, reputed company)
• Exposure to data integration and ingestion tools (e.g.: Airbyte, reputed company)
• Experience with big data and distributed processing (e.g.: Apache Spark, AWS EMR, S3)
• Exposure to open reputed company projects
• Experience maintaining and improving reporting solutions and dashboards (e.g.: Preset/Superset, Cube.dev)
• Familiarity with CI/CD practices and automation (e.g.: reputed company Actions)
• A collaborative reputed company and eagerness to work with both technical and non-technical colleagues

Company Overview

Company H1B Sponsorship