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Description Overview: We’re partnering with a fast-growing organization seeking a experienced Data Engineer to help architect and optimize data pipelines and infrastructure across complex enterprise systems. This role is ideal for someone who thrives in dynamic environments, has deep experience with cloud platforms, and enjoys building scalable, production-ready solutions that support analytics, data science, and business intelligence. Key Responsibilities: Design, build, and maintain robust, scalable ETL/ELT pipelines and data models. Partner with analytics, product, and engineering teams to translate business needs into technical solutions. Optimize data processing workflows for speed, reliability, and cost-efficiency. Implement data quality controls, monitoring, and observability across data flows. Work with structured and unstructured data across cloud-based data platforms (AWS, Azure, or GCP). Maintain and improve data warehouse environments (e.g., Snowflake, Redshift, BigQuery). Apply best practices for data governance, security, and compliance. Requirements Qualifications: 5–10 years of experience in a Data Engineering or similar technical role. Strong programming skills in Python or Scala, with SQL proficiency. Hands-on experience with modern data tools such as Airflow, dbt, Spark, Kafka, or similar. Experience with cloud data infrastructure (AWS preferred; Azure/GCP also acceptable). Solid understanding of data architecture principles and data warehousing concepts. Familiarity with CI/CD practices and version control (Git, Jenkins, etc.). Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Preferred Skills (Not Required): Experience supporting data science, ML pipelines, or real-time data systems. Familiarity with tools like Fivetran, Talend, or Informatica. Exposure to containerization (Docker, Kubernetes) and DevOps practices. Why This Role? Strategic, high-visibility role in a data-driven organization Collaborative culture with a focus on innovation and growth Competitive compensation and benefits package Opportunities to influence architectural direction and tool selection Technology Doesn't Change the World, People Do.®

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