Key Responsibilities

Experience: 8-10 Years

Lead the design and implementation of complex data solutions with a business-centric approach.Guide junior developers and provide technical mentorship.Ensure alignment of data architecture with marketing and business strategies.Work within Agile development teams, contributing to sprints and ceremonies.Design and implement CI/CD pipelines to support automated deployments and testing.Apply data engineering best practices to ensure scalable, maintainable codebases.Develop robust data pipelines and solutions using Python and SQL.Understand and manipulate business data to support marketing and audience targeting efforts.Collaborate with cross-functional teams to deliver data solutions that meet business needs.Communicate effectively with stakeholders to gather requirements and present solutions.Follow best practices for data processing and coding standards.

Skills

Proficient in Python for data manipulation and automation.Strong experience with SQL development (knowledge of MS SQL is a plus).Excellent written and oral communication skills.Deep understanding of business data, especially as it relates to marketing and audience targeting.Experience with Agile methodologies and CI/CD processesExperience with MS SQL.Familiarity with SAS.Good to have B2B and AWS knowledgeNice to have Hands-on experience with orchestration and automation tools such as Snowflake Tasks and Streams.