Principal Data Engineer

Important Information

Location: Bangalore

Experience: 10+ years

Job Mode: Full-time

Work Mode: Remote

Key Responsibilities:

1. Model Development and Implementation:
• Design, develop, and deploy advanced data science models and algorithms.
• Ensure models are scalable, maintainable, and optimized for performance.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.