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Data Engineer
hace 2 meses
Charger Logistics is a world-class asset-based carrier with a strong presence across North America. With over two decades of experience in providing top-notch logistics solutions, we have transformed into a leading transport provider and continue to grow.
We invest time and resources into our employees to provide them with opportunities to learn and grow their expertise. We are an entrepreneurial-minded organization that welcomes and supports individual ideas and strategies. We are currently expanding and looking to add a motivated and experienced Data Engineer to our team.
Responsibilities:- Understand business requirements and processes around advanced analytics model execution.
- Develop end-to-end data pipelines from ingestion to visual analytics using Python, SQL, and Snowflake.
- Manage, enhance, maintain, and support our Snowflake-based data lake.
- Support business intelligence developers to provide stunning visual analytics.
- Develop, maintain, and support our library of analytical functions written in Python, SQL, Snowflake, PySpark, and Matillion.
- Leverage key features of Snowflake for processing, entitlements, ingestion, transformation, and data sharing.
- Collaborate with data scientists, financial data analysts, software engineers, and other data engineers to implement powerful solutions that leverage cloud, big data, NLP, and ML.
- Build machine learning models with advanced analytics techniques to extend our capabilities and deliver new business value.
- Capture and present data-driven business insights.
- Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
- Work closely with software engineering teams to drive real-time model implementations and new feature creations.
- Leverage existing data sources, identify and mine data from new sources, identify opportunities for, and execute primary data gathering efforts, and provide recommendations on scaling new methods more broadly.
- University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 3 years relevant experience.
- 3+ years of hands-on Snowflake Practitioner experience in a Data Engineering role.
- Must be Snowflake Certified or should have experience in Snowflake. The SnowPro Advanced: Data Engineer Certification is preferred.
- Excellent knowledge of Python, Matillion, and SQL.
- Experience on Azure ML Studio is Preferred.
- Good to have experience in Airflow and Matillion Studio.
- Experience in big data processing and the development of Python and SQL for large amounts of data.
- Considerable experience with unit and integration testing.
- Excellent analytical, storytelling, and problem-solving skills.
- Ability to translate/communicate analytics recommendations to both technical and non-technical team members.
- Strong understanding of quantitative (univariate and multivariate) analysis techniques.
- Experience with predictive modeling and machine learning.
- Strong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R, PySpark, Matillion, or similar tools.
- Experience using scripting language for collecting, organizing, and manipulating data.
- Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective.
