Responsibilities:
- Collaborate directly with data scientists to understand their data needs and provide optimal data solutions.
- Design and implement scalable ETL pipelines to transform raw data into actionable insights.
- Ensure the robustness and reliability of data sources, allowing for seamless model training and analysis.
- Work on optimizing algorithms and data structures to improve data processing and storage efficiency.
- Contribute to the architecture and maintenance of our data warehouse, ensuring data integrity and accessibility.
- Integrate various data sources, ensuring consistency and compatibility.
- Implement measures to ensure data privacy and security compliance.
- Keep abreast of the latest industry techniques in data storage, processing, and retrieval.
- Facilitate the deployment of machine learning models into production.
- Debug and troubleshoot data issues, ensuring data scientists have continuous and uninterrupted access to required data streams.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field. A master’s degree in a related area is an advantage.
- Minimum 2 years of experience in a data engineering or similar role.
- Proficient in Python.
- Advanced SQL knowledge and extensive experience in query authoring with a deep understanding of SQL as well as NoSQL databases.
- Experience with ETL tools and processes.
- Familiarity with cloud platforms (e.g., AWS S3, EC2, Lambda) and big data tools (e.g., Spark, Hadoop).
- Experience in building and maintaining data lakes and data warehouses.
- Excellent problem-solving capabilities.
- Adaptability in a dynamic, data-intensive environment.
- Outstanding communication skills to liaise effectively with data scientists, understanding and meeting their data requirements.
Preferred Qualifications:
- Familiarity with machine learning pipelines and frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data visualization tools like Tableau, Qlik, PowerBI, or similar.
- Knowledge of containerization (Docker) and orchestration tools (Kubernetes).
- Proven track record of deploying data solutions in a data science setting.
Skills
Job Details
Diversity Inclusion:
Work Environment
Supervisor’s gender:
Percentage of female coworkers:
Octure is a team of software developers with a wealth of experience in all disciplines needed to deliver cutting-edge applications and systems. We share a common vision and a set of values that make for a great culture. We are passionate about helping organizations deploy cutting-edge AI and machine learning solutions into their business strategy. We foster a feedback culture both within the organization and when working with our partners. Using Agile and Scrum, we implement feedback early and often. We know the process and empower a multidisciplinary team and deliver delightful solutions.
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