Responsibilities: Plan, build, and implement data solutions based on AWS Stack; Groom and estimate user requirements and identify new features; Analyze the data sources, design and develop pipelines to ingest the datausing AWS lambda, step functions, and Glue; Design and create ETL processes supplying Data Warehouse; Preprocess of structured and unstructured data, create queries in databases; Establish and maintain technical specification documentation; Create data models using DBTRequirements Experience: 3+ years in Data Engineering; Education:
Bachelor's degree in Computer Science, Information Technology,or a related field; At least 1 year of experience developing data pipelines using AWS Lambda,Glue, PySpark, and Python; Strong proficiency in SQL; At least 1 year of hands-on experience with Redshift; Familiarity with data lake environments, including handling both structuredand unstructured data; Knowledge of data warehouse, data lake, and enterprise big data platforms; Experience with DBT is a plus; Language Skills:
Upper-Intermediate English (verbal and written); Ability to excel in a diverse, international, and multicultural work environment; Strong communication and persuasion skills; Capability to effectively engage with both technical and businessstakeholders; Proven ability to work independently and collaboratively as part of aninternational project team.
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