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.

نوکری کی تفصیلات

کل عہدے:
1 اشاعت
نوکری کی شفٹ:
دوپہر
نوکری کی قسم:
نوکری کا مقام:
جنس:
کوئی ترجیح نہیں
کم از کم تعلیم:
بیچلرز
کیریئر کی سطح:
تجربہ کار پیشہ ور
کم از کم تجربہ:
2 سال
اس سے پہلے درخواست دیجیۓ:
اکتوبر ۰۱, ۲۰۲۳
تاریخِ اِشاعت:
اگست ۳۱, ۲۰۲۳
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

انفارمیشن ٹیکنالوجی · 11-50 ملازمین - لاہور

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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