Sr Data Engineer

tools and frameworks.# Architect and optimize data models, schemas, and data platforms to support both analytical and operational workloads.# Design, document, and maintain enterprise-level data models (conceptual, logical, and physical) using data modeling best practices.# Collaborate with cross-functional teams to understand requirements, define data strategies, and deliver high-quality engineering solutions.# Lead and drive technical discussions, solution design, and architectural decisions across teams.# Implement and enforce comprehensive data quality standards, validation rules, and monitoring frameworks to ensure accuracy, consistency, completeness, and reliability across all data assets.# Develop efficient, well-structured SQL and complex data transformation logic to support analytics and reporting.# Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and cost efficiency.# Ensure data security, compliance, and adherence to best practices across cloud and

on-premise data systems.# Communicate complex technical topics in a clear, business-aligned manner to stakeholders at all levels.# Mentor and guide junior and mid-level engineers, contributing to team growth and engineering excellence.# # QUALIFICATIONS# EDUCATION: Bachelor#s degree in related field required. Master#s degree preferred.## EXPERIENCE:## 10+ years of experience in data engineering or a related field required.## Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.# Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.# Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.# Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.# Experience in DevOps activities, including implementing CI/CD pipelines and workflow automation for data engineering and analytics platforms required.## Strong programming skills in Python or another modern scripting language required.# KNOWLEDGE, SKILLS AND ABILITIES# Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.# Excellent communication, documentation, and stakeholder engagement skills.# Proficient in building Power BI data models and creating effective dashboards.# Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.# Excellent communication, documentation, and stakeholder engagement skills.# Proficient in building Power BI data models and creating effective dashboards.# # TYPICAL WORKING CONDITIONS# Full time remote/telework## # OTHER PHYSICAL REQUIREMENTS# Vision# Sense of sound# Sense of touch# # #