Data Modeler
Bangalore, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- 3+ years of professional Data Engineering experience.
- Strong Python development skills, particularly for ETL/data pipelines, APIs, data processing, automation, and production workflows.
- Strong SQL skills, including database/data-model design and optimization.
- Experience with workflow orchestration and scheduling tools such as Jenkins, Airflow, Azure Data Factory, or equivalent.
- Experience implementing pipeline monitoring, logging, alerting, and data-quality controls.
- Strong experience with Git-based version control and collaborative development workflows, including branching, pull requests, and code reviews.
Qualification wording
3+ years of professional Data Engineering experience.
Strong Python development skills, particularly for ETL/data pipelines, APIs, data processing, automation, and production workflows.
Strong SQL skills, including database/data-model design and optimization.
Experience with workflow orchestration and scheduling tools such as Jenkins, Airflow, Azure Data Factory, or equivalent.
Experience implementing pipeline monitoring, logging, alerting, and data-quality controls.
Strong experience with Git-based version control and collaborative development workflows, including branching, pull requests, and code reviews.
Tools in this posting
- Python
- SQL
- Azure
- MongoDB
- NoSQL
- Airflow
- Databricks
Source — Tool mentions in context
- 3+ years of professional Data Engineering experience. - Strong Python development skills, particularly for ETL/data pipelines, APIs, data processing, automation, and production workflows. - Strong SQL skills, including database/data-model design and optimization.
- Own pipeline health and observability reporting through platform centralized monitoring, including data freshness, failures, ownership, dependencies, and data quality. - Design and maintain robust database structures, SQL workflows, schemas, indexes, and data models. - Maintain orchestration and scheduling of production workflows with appropriate logging and alerting.
- Strong Python development skills, particularly for ETL/data pipelines, APIs, data processing, automation, and production workflows. - Strong SQL skills, including database/data-model design and optimization. - Experience with workflow orchestration and scheduling tools such as Jenkins, Airflow, Azure Data Factory, or equivalent.
- Strong SQL skills, including database/data-model design and optimization. - Experience with workflow orchestration and scheduling tools such as Jenkins, Airflow, Azure Data Factory, or equivalent. - Experience implementing pipeline monitoring, logging, alerting, and data-quality controls.
- Experience managing weather-data pipelines, including APIs, gridded/geospatial data, historical datasets, and scheduled ingestion. - Experience with Azure/cloud-based data infrastructure. Diversity & Inclusion
- Databricks experience. - MongoDB / NoSQL experience, particularly MongoDB Atlas. - MongoDB administration and operational troubleshooting experience, including the ability to interpret Atlas/database logs, investigate incidents, understand database operations, and identify root causes of unexpected data changes or failures.
- MongoDB / NoSQL experience, particularly MongoDB Atlas. - MongoDB administration and operational troubleshooting experience, including the ability to interpret Atlas/database logs, investigate incidents, understand database operations, and identify root causes of unexpected data changes or failures. - Experience managing weather-data pipelines, including APIs, gridded/geospatial data, historical datasets, and scheduled ingestion.
Additional Information - Databricks experience. - MongoDB / NoSQL experience, particularly MongoDB Atlas.
Benefits in the posting
Full benefits wording- We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.
- We offer
- A workplace culture that embraces diversity and inclusivity
- Opportunities for Professional Growth and Development
- Employee Recognition Program
- Employee Wellness Programs - Confidential access to certified counselors for employee and eligible family members, along with monthly wellness awareness sessions.
- Certified Great Place to Work
- Company Description
From the employer’s posting.
Job description
Job Description
- Own, maintain, and improve production data pipelines across the Coffee Platform.
- Build and maintain ingestion pipelines for internal data sources, including business-generated Excel/CSV files, reports, and other internal datasets.
- Maintain integrations with external data sources, including exchanges, APIs, web-scraped data, and weather providers.
- Proactively monitor pipeline execution, investigate failures, perform root-cause analysis, and implement corrective actions.
- Own pipeline health and observability reporting through platform centralized monitoring, including data freshness, failures, ownership, dependencies, and data quality.
- Design and maintain robust database structures, SQL workflows, schemas, indexes, and data models.
- Maintain orchestration and scheduling of production workflows with appropriate logging and alerting.
- Support data scientists and researchers with reliable, production-ready datasets and pipelines.
- Maintain clear data lineage and documentation and contribute to overall data governance standards.
- Support database administration and production incident investigation where required.
Qualifications
- 3+ years of professional Data Engineering experience.
- Strong Python development skills, particularly for ETL/data pipelines, APIs, data processing, automation, and production workflows.
- Strong SQL skills, including database/data-model design and optimization.
- Experience with workflow orchestration and scheduling tools such as Jenkins, Airflow, Azure Data Factory, or equivalent.
- Experience implementing pipeline monitoring, logging, alerting, and data-quality controls.
- Strong experience with Git-based version control and collaborative development workflows, including branching, pull requests, and code reviews.
Additional Information
- Databricks experience.
- MongoDB / NoSQL experience, particularly MongoDB Atlas.
- MongoDB administration and operational troubleshooting experience, including the ability to interpret Atlas/database logs, investigate incidents, understand database operations, and identify root causes of unexpected data changes or failures.
- Experience managing weather-data pipelines, including APIs, gridded/geospatial data, historical datasets, and scheduled ingestion.
- Experience with Azure/cloud-based data infrastructure.
Diversity & Inclusion
LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.
LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.
Sustainability
Sustainable value is at the heart of our purpose as a company.
We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us
What We Offer
We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.
We offer
- A workplace culture that embraces diversity and inclusivity
- Opportunities for Professional Growth and Development
- Employee Recognition Program
- Employee Wellness Programs - Confidential access to certified counselors for employee and eligible family members, along with monthly wellness awareness sessions.
- Certified Great Place to Work
Company Description
Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, India
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Sep 10, 2026
- Recorded sightings
- 86
- Last seen by us
- Oct 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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