Data Engineer

WaveAccess is looking for a Data Engineer from junior+ to senior level to join our team and contribute to innovative projects in the pharmaceutical domain. This role involves working with Snowflake and the AWS environment to process real-world pharmaceutical data and transform it for use by the Data Science (DS) and Business Intelligence (BI) teams.

WaveAccess is an international results-driven company that provides high-quality custom software development services for hundreds of emerging and established companies globally. By supporting customers with talented software engineers and also vast experience in advanced technologies, WaveAccess builds innovative software solutions while minimizing development risks and costs.

Throughout its 22-year history, the company’s highly skilled specialists have implemented over 500 successful projects for market leaders, ambitious startups, and government institutions.

• Engage in the design, development, and upkeep of data models, ETL, and data analysis systems.
• Collaborate with technical and data science team members to ensure business requirements are fulfilled.
• Automate processes using CI/CD.
• Establish data quality control systems.
• Ensure data confidentiality and security compliance.
• Explore new technologies and methodologies.

• Proficient in conversational English, B2 level.
• Minimum of 2 years of experience as a data engineer or in a similar role.
• Mastery of Python for data processing and pipeline development.
• Proficiency with AWS cloud services.
• Familiarity with SQL databases, encompassing design, queries, and optimization.
• Exceptional problem-solving skills and the ability to work independently and within a team.
• Strong communication skills, capable of explaining technical concepts to non-technical stakeholders.

Technologies and Languages:

• Python
• SQL
• AWS cloud
• Git
• Pandas
• CI/CD, Jenkins

Preferred:

• Snowflake Data Warehouse
• Docker
• DBT
• Linux + bash, ssh
• Jupyter
• Parallel computing
• AWS SageMaker
• AWS Lambda

Additional Plus:

• Experience collaborating with Data Science teams
• AWS certification
• Power BI
• R
• Airflow / Spark

• Employment according to the Labor Code, including 100% payment of sick leave and vacation
• Medical coverage (DMS)
• Democratic leadership, flexible start of the working day
• Corporate training programs
• Abundant opportunities for self-realization, professional and career growth.