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DTICI_Snowflake_Data_engineer_T8
Fa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · Whitefield Palms, Plot No. 9 &, Kansas City, MO, US · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Title | DTICI_Snowflake_Data_engineer_T8 |
| Normalized title | - |
| Department / team | Aftersales |
| Location | Kansas City, MO, United States |
| Work model | Hybrid / Hybrid |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2025-11-13 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Kansas City. | Open |
| Department jobs | Active postings in Aftersales. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Source | 8f4bf702-5303-45ff-9d28-bb6549324ac5 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
ABOUT US
For internal job postings, you can remove that introduction text below
At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving.
Become part of our global team: You make the difference - YOU MAKE US
This platform team is core of Data & AI department for Daimler truck helps developing world class AI platforms in various clouds(AWS, Azure) to support building analytics solutions, dashboards, ML models and Gen AI solutions across the globe.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using Snowflake and other cloud-based tools.
Implement data ingestion, transformation, and integration processes from various sources (e.g., APIs, flat files, databases).
Optimize Snowflake performance through clustering, partitioning, and query tuning.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Ensure data quality, integrity, and security across all data pipelines and storage.
Develop and maintain documentation related to data architecture, processes, and best practices.
Monitor and troubleshoot data pipeline issues and ensure timely resolution.
Working experience with tools like medallion architecture, Matillion, DBT models, SNP Glu are highly recommended
Data Modelling experience and exposure to Medallion architecture
Responsibilities
Required Skills & Qualifications:
Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field.
4-5 years of experience in data engineering or a similar role.
Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
Proficiency in SQL and experience with scripting languages like Python or Shell .
Experience with ETL/ELT tools such as dbt , Apache Airflow , Informatica , or Talend .
Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory.
Understanding of data warehousing concepts and best practices.
Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship
An active team member, willing to go the miles and bring innovation at work
WHAT WE OFFER YOU
Note: Fixed benefits that apply to Daimler Truck, Daimler Buses, and Daimler Truck Financial Services.
Among other things, the following benefits await you with us:
Attractive compensation package
Company pension plan
Remote working
Flexible working models, that adapt to individual life phases
Health offers
Individual development opportunities through our own Learning Academy as well as free access to LinkedIn Learning
+ two individual benefits
Qualifications
Required Skills & Qualifications:
Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field.
4-5 years of experience in data engineering or a similar role.
Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
Proficiency in SQL and experience with scripting languages like Python or Shell .
Experience with ETL/ELT tools such as dbt , Apache Airflow , Informatica , or Talend .
Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory.
Understanding of data warehousing concepts and best practices.
Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship
An active team member, willing to go the miles and bring innovation at work
You don’t bring everything with you? No problem! We look for skills but hire for attitude!
#MAKEYOURMOVE and apply now – we‘re looking forward to it!
At Daimler Truck, we promote diversity and stand for an inclusive corporate culture. We value the individual strengths of our employees, because these lead to the best team performance and thus to the success of our company. Inclusion and equal opportunities are important to us. We welcome applications from people of all cultures and genders, parents, people with disabilities and people of any community.
Full job record
| Job ID | cfbcf014e35ef0def70f2e1cd20fd7462307f850 |
| Org ID | 05c7760f-74f3-4916-ac10-0f9d76e098c7 |
| Source ID | 8f4bf702-5303-45ff-9d28-bb6549324ac5 |
| Board ID | 8f4bf702-5303-45ff-9d28-bb6549324ac5 |
| Provider | oracle_hcm |
| Provider Job Key | 5405 |
| Title | DTICI_Snowflake_Data_engineer_T8 |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Whitefield Palms, Plot No. 9 &, Kansas City, MO, US |
| Department | Aftersales |
| Team | — |
| Employment Type | — |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | MO |
| City | Kansas City |
| Salary Raw | Description ABOUT US For internal job postings, you can remove that introduction text below At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving. Become part of our global team: You make the difference - YOU MAKE US This platform team is core of Data & AI department for Daimler truck helps developing world class AI platforms in various clouds(AWS, Azure) to support building analytics solutions, dashboards, ML models and Gen AI solutions across the globe. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Snowflake and other cloud-based tools. Implement data ingestion, transformation, and integration processes from various sources (e.g., APIs, flat files, databases). Optimize Snowflake performance through clustering, partitioning, and query tuning. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Ensure data quality, integrity, and security across all data pipelines and storage. Develop and maintain documentation related to data architecture, processes, and best practices. Monitor and troubleshoot data pipeline issues and ensure timely resolution. Working experience with tools like medallion architecture, Matillion, DBT models, SNP Glu are highly recommended Data Modelling experience and exposure to Medallion architecture Responsibilities Required Skills & Qualifications: Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field. 4-5 years of experience in data engineering or a similar role. Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.). Proficiency in SQL and experience with scripting languages like Python or Shell . Experience with ETL/ELT tools such as dbt , Apache Airflow , Informatica , or Talend . Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory. Understanding of data warehousing concepts and best practices. Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship An active team member, willing to go the miles and bring innovation at work WHAT WE OFFER YOU Note: Fixed benefits that apply to Daimler Truck, Daimler Buses, and Daimler Truck Financial Services. Among other things, the following benefits await you with us: Attractive compensation package Company pension plan Remote working Flexible working models, that adapt to individual life phases Health offers Individual development opportunities through our own Learning Academy as well as free access to LinkedIn Learning + two individual benefits Qualifications Required Skills & Qualifications: Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field. 4-5 years of experience in data engineering or a similar role. Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.). Proficiency in SQL and experience with scripting languages like Python or Shell . Experience with ETL/ELT tools such as dbt , Apache Airflow , Informatica , or Talend . Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory. Understanding of data warehousing concepts and best practices. Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship An active team member, willing to go the miles and bring innovation at work You don’t bring everything with you? No problem! We look for skills but hire for attitude! #MAKEYOURMOVE and apply now – we‘re looking forward to it! At Daimler Truck, we promote diversity and stand for an inclusive corporate culture. We value the individual strengths of our employees, because these lead to the best team performance and thus to the success of our company. Inclusion and equal opportunities are important to us. We welcome applications from people of all cultures and genders, parents, people with disabilities and people of any community. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-exdu-dev2-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/de/sites/CX_1/job/5405 |
| Apply URL | https://fa-exdu-dev2-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/de/sites/CX_1/job/5405 |
| First Seen At | 2026-05-31 18:06:01Z |
| Last Seen At | 2026-06-06 11:37:12Z |
| Last Checked At | 2026-06-06 11:37:12Z |
| Last Changed At | 2026-05-31 18:06:01Z |
| Inactive At | — |
| Source Posted At | 2025-11-13 12:30:40Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-exdu-dev2-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-06/2026-06-06T11-36-46-900Z-b50d8d378d223fe5f2add4d0dc002a458ebd74e4d507dc56e39fbb6b158d982c.json |
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"ShortDescriptionStr": "We are seeking a skilled and motivated Snowflake Data Engineer with 4-5 years of experience in data engineering and cloud data platforms. The ideal candidate will have hands-on experience with Snowflake, SQL, and data pipeline development, and will play a key role in designing, building, and maintaining scalable data solutions to support business intelligence and analytics initiatives\n",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "IN",
"ExternalQualificationsStr": null,
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},
"detail_meta": {
"url": "https://fa-exdu-dev2-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%225405%22,siteNumber=CX_1",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 14664
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/cfbcf014e35ef0def70f2e1cd20fd7462307f850?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/05c7760f-74f3-4916-ac10-0f9d76e098c7JSONGET https://api.bluedoor.sh/job-postings/v1/sources/8f4bf702-5303-45ff-9d28-bb6549324ac5JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/cfbcf014e35ef0def70f2e1cd20fd7462307f850/eventsJSON