Data Engineer

Traackr is a global SaaS technology company providing a data-driven influencer marketing platform. The Data Engineer will develop and optimize data pipelines, ensuring the reliability and performance of data workflows while collaborating with Data Scientists and Analysts.

Responsibilities:

• Develop, maintain, and optimize data pipelines for analytics and machine learning workloads
• Ensure reliability, scalability, and performance of data workflows
• Implement data ingestion from internal and external sources
• Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis
• Build and maintain Databricks-based data pipelines and workflows
• Monitor, debug, and improve data pipeline performance and platform efficiency
• Develop tools and frameworks to automate data operations and ensure data quality
• Work with product and engineering teams to translate data requirements into solutions
• Participate in code reviews and follow data engineering best practices
• Maintain documentation and contribute to improving data engineering standards and tooling

Requirements:

• 2–4 years of experience in Data Engineering, Analytics Engineering, or a related field
• Experience building and maintaining data pipelines and ETL/ELT workflows
• Proficiency in Python and SQL for data processing and transformation
• Experience working with Databricks, Spark, or similar distributed data processing platforms
• Familiarity with data ingestion from APIs, databases, or cloud storage systems
• Experience working with cloud platforms such as AWS, Azure, or GCP
• Understanding of data modeling, data warehousing, and data quality practices
• Familiarity with version control (e.g., Git) and collaborative development workflows
• Ability to work collaboratively with Data Scientists, Analysts, and Engineers
• Strong problem-solving and communication skills