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
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