Senior Data Engineer designing and building robust data solutions for analytics at Mindera. Collaborating with cross-functional teams to deliver high-quality data products.
Responsibilities
Design, build, and maintain scalable data pipelines and data models to support analytics and machine learning use cases
Develop and optimize data platforms for both batch and real-time data processing
Work with large-scale datasets to transform raw data into meaningful, high-quality datasets
Build and manage cloud-native data solutions (primarily on AWS or similar platforms)
Implement best practices for data quality, monitoring, and reliability
Contribute to CI/CD pipelines to automate testing, deployment, and data workflows
Collaborate with cross-functional teams to enable self-service analytics and data-driven decision-making
Requirements
Strong hands-on experience in Python and SQL
Proven experience in building data pipelines for analytics and ML workloads
Strong understanding of data modelling, data warehousing, and data lakes
Hands-on experience with tools like Spark, Airflow, DBT, or similar
Experience working with cloud platforms (AWS preferred)
Familiarity with modern data formats such as Parquet, Iceberg
Experience with both batch and real-time data processing
Knowledge of CI/CD practices (Jenkins, GitHub Actions)
Experience with Infrastructure as Code (Terraform) and containerization (Docker)
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
Benefits
Flexible working hours (self-managed)
Competitive salary
Annual bonus, subject to company performance
Access to Udemy online training and opportunities to learn and grow within the role
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