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Data Engineer
2 weeks ago
Company Description
Tremend is the newest global software engineering hub for Publicis Sapient. For over 20 years, the company has been infusing its advanced technical expertise into complex and innovative solutions that meet today's digital transformation needs and pave the way for a better and smarter future. By joining forces with Publicis Sapient we're accelerating the impact, providing a good mix of talented engineers, technology, continuous improvement, innovation, and R&D. Here, you'll have the opportunity to unleash your potential, powering up advanced software solutions for some of the world's most iconic brands. Embrace your passion for technology, creativity, and continuous improvement, and join us in making a difference through engineering.
Overview
Tremend is looking for a Data Engineer to join our team of bright thinkers and doers. You'll use your problem-solving creativity to figure out our client's most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.
Responsibilities
- 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
Qualifications
- Hands-on experience with ETL/ELT design and implementation
- Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
- Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
- Proficiency in programming languages such as Python, Java
- Solid understanding of SQL and experience with both relational and non-relational databases
- Experience with data modeling, schema design, and data partitioning strategies
- Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus
- Experience with version control (e.g., Git) and CI/CD practices
- Familiarity with Agile development methodologies and test management basics
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 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
- Curiosity and drive to continuously learn, adapt, and share knowledge
Additional Information
Besides an exciting job in a tremendous team, here's what you can expect:
- A fast-paced tech environment
- Continuous growth & learning
- Open feedback culture
- Room for own initiative & ideas
- Transparency about results & strategy
- Recognition & reward for hard work
- Working with a flexible schedule
- Medical subscription
- Meal tickets
- Extra vacation days - starting with 25 vacation days
- Many others perks
