Software Engineer- Data Engineering

Noctua Technology is a software engineering and consulting corporation focused on data engineering, machine learning, and cloud technologies. They are seeking a talented Data Engineer to construct and optimize data pipelines, implement storage solutions, and support customer data-driven initiatives.

Responsibilities:

• Acquire, clean, and preprocess diverse datasets from various sources
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using CSP managed services and SQL technologies
• Develop and maintain data pipelines to ensure a continuous flow of high-quality data
• Develop data migration strategies and schemas to lead customer migrations from on-prem to cloud technologies
• Perform data migration activities
• Optimize databases and data warehouses for efficient querying and data storage
• Perform exploratory data analysis to uncover patterns, trends, and insights
• Create visualizations and reports to communicate findings effectively to stakeholders both internally and externally
• Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions
• Create and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team
• Act on client feedback constructively to improve services and outcomes
• Continuously seek ways to enhance the overall customer experience
• Stay updated on the latest developments in machine learning, data science, and analytics
• Drive innovation by proposing and implementing new techniques and technologies

Requirements:

• Solid understanding and experience with SQL and relational database concepts
• Solid understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka)
• Experience with data analysis tools (eg., Jupyter, Colab, Pandas)
• Experience with data visualization tools (eg., Tableau, Looker, PowerBI, Qlik, and SuperSet)
• Previous experience developing data strategies and facilitating data migrations into production systems
• Experience with cloud platforms (e.g., AWS, Azure, GCP)
• Proficiency in programming languages such as Python, Java, or C++
• Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code
• Familiarity with version control systems (e.g., Git) and collaborative development workflows
• Excellent problem-solving and critical-thinking skills
• Effective communication skills and ability to work in a collaborative team environment
• Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field
• Experience with other database technologies (eg., NoSQL, Graph)
• Google Cloud Professional Cloud Architect
• Google Cloud Professional Database Engineer certification
• Google Cloud Professional Data Engineer
• Experience with additional data processing tools and technologies (e.g., Spark, Hadoop)
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)