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.

工作详细内容

全部职位:
1 发布
工作时间:
中班
工作类型:
工作地址:
性别:
没有偏好
最低学历:
学士
职位等级:
资深专业人员
电话预约已成功,我们的专家会在短时间内与你联系:
2年
在之前申请:
Oct 01, 2023
发布日期:
Aug 31, 2023
Diversity Inclusion:
We value diversity of our employees. All qualified applicants will receive fair consideration without regard to genders or socio-economic backgrounds.

Work Environment

Supervisor’s gender:
Male
Percentage of female coworkers:
0%

Octure

· 11-50 员工 - 拉合尔

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.

你最大的竞争优势

快速得到有竞争力的分析和专业的对你的评定
联系我们团队的专业顾问来提升你的简历
尝试罗资 专业版

相同职位头衔

Data Engineer

Traxccel, 卡拉奇, 巴基斯坦
发布 Jan 28, 2025

Data Engineer

Parkeet Ai, , 巴基斯坦
发布 Jan 11, 2025

Data Engineer - Python

Mavric Technology, 拉合尔, 巴基斯坦
发布 Jan 09, 2025

Data Engineer

Parket Ai, , 巴基斯坦
发布 Jan 10, 2025
浏览全部
我在ROZEE上找到工作啦!