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Data Engineer

Galaxi Consulting Group

Location: Open to either East Coast or West Coast (Must be close to Hub) City New York United States (USA) / Seattle United States (USA) / Santa Monica United States (USA) / San Francisco United States (USA) -4 days a week onsite is required Skills – SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow Job Description Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data. Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments. Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions. Help define technical requirements and implementation details for the underlying data warehouse and data marts. Help integrate and maintain campaign marketing data coming from marketing vendor platforms via an integration tool. Maintain detailed documentation of your work and changes to support data quality and data governance. Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers. Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team. Basic Qualifications Over 9- 12 years of experience in Data Engineering, with a strong foundation in designing and implementing scalable data solutions. Proficient in data modeling, architecture, and building robust ETL pipelines to support analytical and operational use cases. Hands‑on expertise with SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow for data processing and orchestration. Experienced in AWS services including S3 and supporting reporting and downstream data workflows. Familiarity with Marketing Intelligence tools like Datorama/Improvado/FiveTran for integrating, harmonizing, and visualizing marketing data across platforms. Experience with Scrum and Agile methodologies. Bachelor’s or master’s degree in computer science, Information Systems or related field. #J-18808-Ljbffr

Vacancy posted 3 days ago
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