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As a Senior Data Science Engineer, you will play a pivotal role in designing, implementing, and
optimizing our data-driven solutions, contributing directly to our mission of making solar and
wind energy greener and more efficient.

Job Description

Qualification
1. 6+ years of dedicated professional experience in data science/analytics/engineering, with a
dedicated focus on production-level model development and deployment for scalable
real-world data/analytics solutions/platforms.
2. Strong understanding of ETL processes, data warehousing, and pipeline design for
high-quality data management.
3. Proven working experience in DevOps and MLOps, with hands-on experience in CI/CD for
data, analytics, and ML pipelines.
4. Proficiency in Python, SQL, Time-series databases, and MongoDB with extensive hands-on
experience in production-grade Machine/Deep Learning libraries/methodologies/models
and data engineering tools.
5. Proven development work experience with AWS cloud service and high-level proficiency in
using cloud tools or services.
6.



Solid understanding and proven experience in statistical methods/modeling,
machine/deep learning, data preprocessing, and feature engineering.
7. Solid understanding of deep learning architectures relevant to time-series data analysis.
8. Solid understanding and proven work experience in database/data pipeline design,
engineering, deployment, and maintenance.
9. Willingness to work in a rapid-paced, high-growth environment
10. Experience with backend development frameworks (Fast API, Django, Flask, Node.Js, etc.)
for deploying data services.

Nice to have

1. Working knowledge of big data technologies (e.g., Spark, Hadoop) for scaling ML and data
processing tasks.
2. Experience with frontend development frameworks for visualization (React, etc.).
What will we do together?
1. Design, build, and optimize data pipelines for cleaning, processing, and feature extraction
from large datasets and live data

📌 Senior Data Engineer (Delhi)
🏢 Discovereisquintessential
📍 Delhi