Data Engineer

Responsibilities:
Develop, implement, and maintain efficient and scalable data engineering
solutions to support the company's data initiatives.
Collaborate with cross-functional teams to understand business
requirements and translate them into technical data engineering
solutions.
Build and maintain data pipelines to ingest, transform, and store data
from various sources, ensuring data quality, integrity, and reliability.
Optimize data processing workflows to achieve high performance and low
latency in handling large volumes of data.
Collaborate with business to understand their data requirements and
assist in the design and implementation of data solutions.
Monitor and troubleshoot data pipelines, proactively addressing any
performance issues, bottlenecks, or failures to ensure uninterrupted data
flow.
Continuously improve data engineering processes and systems through
the adoption of best practices and innovative approaches.

Skills and Qualifications:
Bachelor's or master's degree in computer science, Data Engineering, or
a related field.
4-5 years of experience as a Data Engineer, with expertise in developing
scalable data solutions.
Strong experience in data engineering, including data ingestion,
transformation, storage, and data pipeline optimization.
Excellent proficiency in Python & SQL for data engineering and
analytics tasks
Operational research and Supply Chain Management domain
understanding is desirable
Experience in designing and implementing data warehouses and data
lakes for analytics and reporting.
Understanding of data governance policies, data security measures, and
relevant regulatory requirements.
Strong problem-solving skills and the ability to optimize data processing
workflows for performance and scalability.
Excellent communication, collaboration, and attention to detail to deliver
high-quality, reliable data solutions.