Middle /Senior Data Engineer

Job Description

We are seeking an experienced Middle /Senior Data Engineer to join our team and collaborate with clients on exciting global projects. The role involves working on a cutting-edge solution for a leading healthcare company, consolidating regional CRM systems into a single, efficient global platform. This initiative supports over 20,000 sales and support professionals, optimizing data management, enhancing system performance, and streamlining operations through advanced technologies.

If you're passionate about building scalable data solutions and driving impactful results, we'd love to hear from you!

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.

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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.

What We Offer:  

• 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, plus an option for family insurance coverage at a corporate rate;  

• Support for participation in professional development opportunities (webinars, conferences, trainings, etc.);  

• Regular team-building opportunities as well as bi-annual company-wide events;  

• Flexible work environments, including in-office, remote, or hybrid, based on employee preference and manager approval.

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