Lead Data Engineer
Lead Data Engineer
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1 Vacancy
Job Description
68 years of experience in building and maintaining data pipeline architecture.
Expertise in Azure technologies (Databricks ADF Key Vault Blob Storage) and Snowflake.
Lead the design development and optimization of data pipelines and infrastructure.
Drive the adoption of best practices in data engineering including coding standards quality assurance and data governance
Collaborate with stakeholders to deliver scalable and costeffective solutions.
Mentor and guide junior team members to ensure continuous learning and growth.
Experience assembling extensive complex data sets that meet both functional and nonfunctional business requirements.
Proven track record in building analytics tools to derive insights into customer acquisition operational efficiency and business performance metrics.
Ability to collaborate with data and analytics experts to enhance system functionality.
Local to Atlanta (3 days in office required)
Key Responsibilities:
Build and optimize data pipelines for seamless ETL (Extract Transform Load) from diverse data sources.
Automate processes optimize data delivery and redesign infrastructure for scalability.
Develop analytics tools that provide actionable insights for business performance.
Work crossfunctionally with teams to ensure data systems are optimized for maximum impact.
Employment Type
Full Time
