Data Engineer

Description

MWDN company is seeking an experienced Data Engineer to join our client's team and play a crucial role in designing, building, and maintaining their data infrastructure. You'll work with large-scale data sets, create efficient data pipelines, and collaborate with cross-functional teams to drive data-informed decision-making across the organization.

Requirements

• 5+ years of professional experience in data engineering or a similar role.
• Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's degree preferred.
• Strong proficiency in Python and SQL.
• Extensive experience with big data technologies such as Spark, Hadoop, or similar.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with data modeling and dimensional data design.
• Knowledge of data warehousing concepts and technologies.
• Familiarity with workflow management tools like Airflow, Prefect, or similar.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and ability to work in a collaborative environment.

Preferred Skills:

• Experience in the healthcare or entertainment industry.
• Knowledge of HIPAA, HITECH, or other relevant data privacy regulations.
• Familiarity with real-time data processing and streaming technologies (e.g., Kafka).
• Experience with data visualization tools.
• Contributions to open-source projects or active participation in the data engineering community.

About the project

Our client aims to facilitate access to precise data for companies and tech leaders in marketing, e-commerce, sales, cybersecurity, social media performance, and lead generation. They do so by offering a direct look at the web using over 1 million global IPs.

Today, they're seeking innovative and creative individuals to help provide products and services to an expanding client base. Apply now to join their ambitious team of market leaders!

Responsibilities

• Design, architect, and maintain scalable data infrastructure using modern technologies such as Python, Spark, Databricks, and cloud platforms.
• Develop and optimize ETL processes and data pipelines to handle large volumes of data efficiently.
• Create and maintain data models, ensuring data quality, integrity, and accessibility.
• Collaborate with data scientists, software engineers, and product managers to understand data needs and provide solutions.
• Implement data governance processes and ensure compliance with data privacy regulations.
• Optimize query performance and improve data retrieval efficiency.
• Contribute to the development of data architecture strategies and best practices.
• Mentor junior team members and provide technical leadership.

Benefits

• People-oriented management without bureaucracy.
• The friendly climate inside the company is confirmed by the frequent comeback of previous employees.
• Paid time off (18 working days per year, plus all national holidays and 9 sick days).
• Flexible working schedule.
• Full financial and legal support for private entrepreneurs.
• Free English classes with native speakers or with Ukrainian teachers (for your choice).
• Dedicated HR.

Our next steps

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Client's technical interview — ✅ Final Interview — ✅ Offer