As a Senior Data Science Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure and pipelines. Your expertise will drive the effective collection, storage, processing, and analysis of large-scale data sets, enabling actionable insights and data-driven decision-making across the organization. You will collaborate with cross-functional teams, including software engineers, and product managers, to deliver scalable and high-performance data solutions that support our growing product needs.

​Job Description in breif -
Design and Develop Data Solutions: Lead
the end-to-end design and development of scalable, effective, and reliable
data pipelines and ETL workflows. Implement data integration processes
from various sources to central data repositories.
Data Modeling and Architecture: Design
and optimize data models for both structured and unstructured data,
ensuring productive data storage and retrieval. Evaluate and propose
appropriate database technologies and data storage solutions.
Data Quality and Governance: Implement




data quality checks and ensure data integrity across all data assets.
Establish and maintain data governance practices to guarantee compliance
with data security and privacy regulations.
Performance Optimization: Continuously
monitor and enhance the performance of data pipelines, databases, and data
processing systems to achieve optimal efficiency and low latency.
Big Data Technologies: Stay up-to-date
with the latest trends and advancements in big data technologies,
frameworks, and tools. Evaluate and introduce recent technologies to improve
data engineering processes.
Collaboration and Leadership: Collaborate
with data scientists, analysts, and other stakeholders to understand their
data needs and provide the necessary infrastructure and support. Mentor
and guide junior data engineers to foster a high-performing data engineering
team.
Documentation and Best Practices:
Maintain comprehensive

📌 Sr Data Science Engineer Pune
🏢 Fold Health
📍 Pune