Инженер данных

Tremend serves as a global software engineering hub for Publicis Sapient, specializing in advanced technical expertise for complex digital transformation solutions. The organization focuses on delivering innovative software products across various industries to support global brands.

• 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 programming languages such as Python or Java;
• Solid understanding of SQL and experience with both relational and non-relational databases;
• Experience with data modeling, schema design, and data partitioning strategies;
• Experience with version control like Git and CI/CD practices;
• Familiarity with Agile development methodologies and test management basics;
• Bachelor’s degree in Computer Science, Engineering, or related field;
• 7+ 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 about results and strategy;
• Recognition and reward for hard work;
• Flexible schedule;
• Medical subscription;
• Meal tickets;
• 25+ Vacation days.