Data Engineer

You are a seasoned Data Engineer with expertise in SQL, Python, and AWS, and you are responsible for designing and managing data solutions. Your role involves understanding and analyzing client business requirements, recommending modern data tools, developing and maintaining data pipelines and ETL processes, creating and optimizing data models for client reporting and analytics, ensuring seamless data integration and visualization, communicating with clients for updates and issue resolution, and staying updated on industry best practices and emerging technologies. You should have 3-5 years of experience in data engineering/analytics, proficiency in SQL and Python for data manipulation and analysis, knowledge of Pyspark, experience with data warehouse platforms like Redshift and Google BigQuery, familiarity with AWS services like S3, Glue, Athena, proficiency in Airflow, familiarity with event tracking platforms like GA or Amplitude, strong problem-solving skills, adaptability, excellent communication skills, proactive client engagement, and the ability to collaborate effectively with team members and clients. In return, you will receive a competitive salary with a bonus, employee discounts across all brands, medical and health insurance, a collaborative work environment, and a good vibes work culture.,