Data Engineer
3 days ago
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.
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