3+ yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted on 10 Sept
Reach people at Louis Dreyfus Company
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Louis Dreyfus Company you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and enhance production data pipelines including ingestion from internal and external sources like APIs, exchanges, and web scraping.
- Monitor and troubleshoot pipeline execution failures, perform root cause analysis, and ensure pipeline health via centralized monitoring and observability reporting.
- Design and maintain robust data models, SQL workflows, database schemas, and support data governance and production incident investigations.
Minimum Requirements
- 3+ years of professional Data Engineering experience.
- Strong Python skills for ETL, APIs, data processing, automation, and production workflows.
- Strong SQL skills with experience in database and data-model design and optimization.
- Experience with workflow orchestration/scheduling tools (e.g., Jenkins, Airflow, Azure Data Factory) and implementing pipeline monitoring, logging, alerting, and data quality controls.
Ideal Candidate Profile
- Experienced in managing end-to-end data pipeline ownership with focus on production reliability and observability.
- Proficient in both development (Python, SQL) and operational aspects (orchestration, logging, alerting) of data workflows.
- Comfortable working in collaborative, Git-based environments with code reviews and version control best practices.