Customertimes

Job Description

This role is ideal for an experienced Data Engineer who enjoys designing and implementing data pipelines and working closely with cross-functional teams to deliver robust, scalable data platforms.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field;
• 3+ years of experience in Data Engineering;
• At least 1 year of hands-on experience developing data pipelines using AWS Lambda, AWS Glue, AWS Step Functions, 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;
• Upper-Intermediate English skills (verbal and written);
• Ability to excel in a diverse, international, multicultural 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.

Responsibilities:

• Plan, build, and implement data solutions based on the AWS Stack;
• Groom and estimate user requirements and identify new features;
• Analyze data sources, design and develop pipelines to ingest data using AWS Lambda, Step Functions, and Glue;
• Design and create ETL processes to supply the data warehouse;
• Preprocess structured and unstructured data, create queries in databases;
• Establish and maintain technical specification documentation;
• Create data models using DBT.

What We Offer:

• Competitive salary;
• 100% remote opportunity;
• Opportunities for professional growth and advancement;
• A collaborative and innovative work environment;
• 20 days of paid vacation, 15 paid days of sick leave with a doctor’s note, and 5 days of paid sick leave without a doctor’s note;
• Medical insurance coverage for employees, with optional family insurance at a corporate rate;
• Support for participation in professional development opportunities (webinars, conferences, trainings, etc.);
• Regular team-building activities and bi-annual company-wide events;
• Flexible work environments including in-office, remote, or hybrid options based on employee preference and manager approval.