Senior Data Engineer

EagleView

Responsibilities

• Design, develop, and optimize

  scalable data pipelines

  for ETL/ELT processes
• Develop and maintain

  Python-based

  data processing scripts and automation tools
• Write and optimize complex

  SQL queries

  (preferably in

  Snowflake

  ) for data transformation and analytics
• Experience with

  Jenkins

  or other CI/CD tools
• Experience developing with

  Snowflake

  as the data platform
• Experience with

  ETL/ELT tools

  (preferably Fivetran, dbt)
• Implement

  version control best practices

  using Git or other tools to manage code changes
• Collaborate with cross-functional teams (analysts, product managers, and engineers) to understand business needs and translate them into technical data solutions
• Ensure

  data integrity, security, and governance

  across multiple data sources
• Optimize

  query performance and database architecture

  for efficiency and scalability
• Lead troubleshooting and debugging efforts for data-related issues
• Document data workflows, architectures, and best practices to ensure maintainability and knowledge sharing

Qualifications

• 5+ years of experience

  in Data Engineering, Software Engineering, or a related field
• Bachelors or Masters degree in

  Computer Science, Computer Engineering, or a related discipline

• High proficiency in

  SQL

  (preferably

  Snowflake

  ) for data modeling, performance tuning, and optimization
• Strong expertise in

  Python

  for data processing and automation
• Experience with

  Git

  or other version control tools in a collaborative development environment
• Strong communication skills and ability to

  collaborate with cross-functional teams

  for requirements gathering and solution design
• Experience working with large-scale, distributed data systems and cloud data warehouse

Preferred Experience:

• Knowledge of

  cloud platforms

  (AWS, GCP, Azure) and related services (e.g., S3, Lambda, BigQuery)
• Develop

  Flask-based

  web applications to create lightweight data-driven web tools
• Familiarity with

  data governance, security, and compliance best practices

• Understanding of

  data modeling principles and database design

containerization (Docker, Kubernetes)