Senior Data Engineer

Create and maintain Data Platform pipelinesCreate Conceptual, Logical, and Physical data modelsDesign table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem.Collaborate with other data engineers, data scientists, and cross-functional teams.Fluency with data engineering concepts and platforms (AWS: S3, Lambda, SNS, SQS...; Iceberg),data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt, Airflow).Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our teamCollaborate with product managers, architects, and other engineers to drive the success of theCore Data PlatformDocument standards and best practices for pipeline configurations, naming conventions, etc.Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvementsMaintain detailed documentation of your work and changes to support data quality and data governance requirementsQualifications:5+ years of data engineering experience developing data pipelinesStrong understanding of data modeling principles, including Dimensional modeling and data normalization principlesProficiency in at least one major programming language (eg, Python)Expert SQL skills and ability to create queries to analyze complex datasetsHands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelinesExperience with SnowflakeStrong algorithmic problem-solving expertiseComfortable working in a fast-paced and highly collaborative environment.Excellent written and verbal communicationAdvance understanding of OLTP vs OLAP environmentsWillingness and ability to learn and pick up new skill setsSelf-starting problem solver with an eye for detail and excellent analytical and communicationTotal years of exp - 9-13 years5+ years of Strong experience with Core Data Platform/Data EngineeringData Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP)Python for data engineering and automationAdvanced SQL (complex queries, optimization, performance tuning)Snowflake (hands-on implementation and optimization)Understanding of OLTP vs. OLAP architectures and data warehouse designJob stability is mandatory