Data Engineer- Senior Associate

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