Инженер данных

Tremend serves as a global software engineering hub for Publicis Sapient, specializing in advanced technical expertise for digital transformation and innovative software solutions across various industries. The organization focuses on R&D and engineering excellence to support global brands in their technological evolution.

• Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions;
• Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data;
• Work with big data technologies and distributed systems to process and transform large datasets;
• Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage;
• Partner with data scientists and analysts to deliver clean, well-structured, and accessible data;
• Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems;
• Automate provisioning, deployments, and environment management for data platforms;
• Create and support APIs and data services for internal and external consumers;
• Ensure solutions meet requirements for scalability, performance, data quality, and governance.

• Hands-on experience with ETL/ELT design and implementation;
• Familiarity with big data ecosystems such as Spark, Hadoop, Kafka, or Flink;
• Experience with one or more cloud platforms like Azure, AWS, or GCP and modern data engineering tools such as Databricks, Snowflake, BigQuery, or Synapse;
• Proficiency in Python or Java;
• Solid understanding of SQL and experience with relational and non-relational databases;
• Experience with data modeling, schema design, and data partitioning strategies;
• Experience with version control and CI/CD practices;
• Familiarity with Agile development methodologies and test management basics;
• Bachelor’s degree in Computer Science, Engineering, or a related field;
• 2–3 Years of professional experience in data engineering or related roles;
• Strong teamwork, communication, analytical thinking, and problem-solving skills;
• Fluent in English, both spoken and written;
• Nice to have: Knowledge of workflow orchestration tools like Airflow or Data Factory.

• Fast-paced tech environment;
• Continuous growth and learning opportunities;
• Open feedback culture;
• Room for initiative and ideas;
• Transparency regarding results and strategy;
• Recognition and rewards for performance;
• Flexible schedule;
• Medical subscription;
• Meal tickets;
• 25+ Vacation days.