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Principal Data Engineer
Encora
posted 29d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Model Development and Implementation:
- Design, develop, and deploy advanced data science models and algorithms.
- Ensure models are scalable, maintainable, and optimized for performance.
- Leadership and Mentorship:
- Lead and mentor a team of data scientists and engineers, providing technical guidance and support.
- Foster a culture of continuous learning and innovation within the team.
- Collaboration:
- Work closely with product managers, engineers, and business stakeholders to understand data requirements and deliver solutions.
- Collaborate with data engineering teams to ensure seamless integration of data science models into production systems.
- Research and Innovation:
- Stay current with the latest advancements in data science and machine learning.
- Evaluate and implement new tools, techniques, and technologies to enhance our data science capabilities.
- Data Analysis and Insight Generation:
- Conduct exploratory data analysis to uncover trends, patterns, and insights.
- Translate complex data into actionable insights and recommendations for business stakeholders.
- Project Management:
- Lead data science projects from conception to completion, ensuring timely delivery and high-quality results.
- Develop project plans, timelines, and resource allocation.
Qualifications:
Education and Experience:
- Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related field.
- 10+ years of experience in data science, with a proven track record of developing and deploying advanced models.
Technical Skills:
- Experience with Databricks
- Proficiency in programming languages - Python, Pyspark.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong knowledge of statistical analysis, data mining, and predictive modelling. Machine learning algorithms (supervised/unsupervised/deep learning). Model evaluations & validation.
- Experience with big data technologies (e.g., Hadoop, Spark)
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services. AWS knowledge is must.
- Docker, Kubernetes
- Any DB experience, SQL query writing and optimization
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work effectively in a fast-paced, dynamic environment.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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