Data Analyst

We are looking for 4 Data Engineers (Medior / Senior) to join a dynamic data team working on large-scale transformation and migration initiatives. You will be responsible for building and maintaining scalable, high-performance data pipelines, both in on-prem and AWS cloud environments. You will work with modern data frameworks and tools to enable clean, automated, and efficient data flows supporting business-critical analytics and reporting.

Language: English (required)

What are your responsibilities?

• Translate functional specifications into efficient technical designs
• Develop and maintain batch and real-time data pipelines using Python and PySpark
• Automate data workflows and orchestration using Apache Airflow
• Migrate legacy pipelines from on-prem to AWS cloud environments
• Perform data modeling, transformation, and reconciliation tasks
• Ensure high standards in code quality, testing, and deployment
• Monitor pipeline performance and improve processing efficiency
• Collaborate within Agile teams and contribute to solution architecture
• Support data-driven decision-making across departments

Who are we looking for?

• 2–5 years of experience for medior roles, 5+ years for senior roles in data engineering or software development
• Proficient in Python, PySpark, and SQL
• Strong experience with Apache Spark and Apache Airflow
• Solid knowledge of data modeling and data architecture principles
• Experience working in cloud environments, especially AWS (S3, Glue, Lambda, CI/CD tools)
• Familiar with both on-prem and cloud-based data ecosystems
• Agile mindset with experience working in Scrum/SAFe teams
• Strong analytical thinking, autonomy, and problem-solving skills
• Clear communicator and team player with a proactive attitude
• Bonus: experience with Scala, JavaScript, Informatica, or NoSQL technologies (MongoDB, Cassandra, etc.)

PS: We also work with freelancers