Data Engineering and Machine Learning Specialist
4 weeks ago
If you are passionate about leveraging data to drive business outcomes and are excited about the opportunity to make an impact, we want to hear from you Apply now to join our dynamic team as a Data Engineering and Machine Learning Specialist.
Responsibilities:
- Utilize familiarity with Google Cloud Storage and AWS services like S3 to establish efficient file storage and management solutions, ensuring data security and accessibility.
- Design and manage data pipelines for processing, transforming, and loading data into appropriate systems, maintaining data integrity and enabling accurate reporting.
- Apply machine learning expertise, particularly in time series forecasting, to develop predictive analytics models that empower data-driven decision-making.
- Collaborate with cross-functional teams to identify data requirements, develop solutions, and drive business insights.
- Stay updated on industry trends and emerging technologies to continuously enhance data engineering and machine learning capabilities.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree preferred.
- Proven experience with Google Cloud Storage, AWS S3, and other cloud storage solutions.
- Strong background in data engineering principles and best practices for building scalable and robust data pipelines.
- Proficiency in machine learning techniques, with a focus on time series forecasting and predictive analytics.
- Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.
- Effective communication and collaboration skills, with the ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with big data technologies such as Apache Spark, Hadoop, or Apache Flink.
- Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib.
- Knowledge of programming languages such as Python, SQL, or Scala.
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