Responsibilities:

📍Lead team responsible for scaling our data infrastructure and optimizing our warehouse'sperformance 📍Lead design, architecture and implementation of best-in-class Data Warehousing and reportingsolutions 📍Lead and participate in design discussions and meetings 📍Lead and mentor data engineers 📍Design, automate, build, and launch scalable, efficient and reliable data pipelines into production 📍Build real-time data and reporting solutions 📍Oversee design, build and enhance dimensional models for Data Warehouse and BI solutions 📍Research new tools and technologies to improve existing processes 📍Develop new systems and tools to enable the teams to consume and understand data moreintuitively 📍Partner with engineers, project managers, and analysts to deliver insights to the business 📍Own responsibilities around root cause analysis, production and data issues such as validation

Qualifications:

📍5-7+ years experience bringing a data infrastructure to the next level including the overhaul ofdata, pipelines, architecture and modeling 📍7+ years experience in custom ETL design, implementation and maintenance 📍7+ years experience with schema design and dimensional data modeling 📍Experience building real-time data solutions and processes 📍Experience building and integrating web analytics solutions 📍Advanced SQL skills is a must 📍Experience and expertise in Databricks, Spark, Hadoop etc. 📍Skilled in programming languages Python and/or Java 📍Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc) 📍Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc) 📍Experienced building cross functional teams across different departments 📍Strong technical and business communication