Mid Data Practitioner, Data - Analytics Engineering

ResponsibilitiesDesign and implement end-to-end data pipelines (ingestion ? transformation ? quality ? delivery)Build and maintain data components (event-driven ingestion, transformations, APIs, catalogs)Write SQL-first transformations and Python for orchestration/API logicImplement data quality in the pipeline for validation, monitoring, and alerting systems at scaleOptimize data models for performance, cost, and reliability across datasetsCollaborate with Junior/Intern team membersRequirements2 to 4 years of experience in data engineering/analyticsStrong SQL skills (complex joins, aggregations, incremental patterns)Proficiency in Python for services/pipelinesComfortable with Git, PR reviews, pytestStrong collaboration skills with other teams#J-*****-Ljbffr

2 to 4 years of experience in data engineering/analytics Strong SQL skills (complex joins, aggregations, incremental patterns) Proficiency in Python for services/pipelines Comfortable with Git, PR reviews, pytest Strong collaboration skills with other teams #J-*****-Ljbffr