Senior Advanced Data Engineer designing and optimizing data architecture for Honeywell. Collaborating with cross - functional teams to drive data - driven decision - making and operational efficiency.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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