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 data

using 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 DBT.

Requirements

• 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 structured

and 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 business

stakeholders;

• Proven ability to work independently and collaboratively as part of an

international project team.

Data Engineer

Inbybob