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HomeCompaniesFa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1DTICI_Snowflake_Data_engineer_T8

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

FieldValue
CompanyFa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
TitleDTICI_Snowflake_Data_engineer_T8
Normalized title-
Department / teamAftersales
LocationKansas City, MO, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2025-11-13 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Fa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Kansas City.Open
Department jobsActive postings in Aftersales.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Exdu Dev2 Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
Source8f4bf702-5303-45ff-9d28-bb6549324ac5
ATS providerOracle 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 IDcfbcf014e35ef0def70f2e1cd20fd7462307f850
Org ID05c7760f-74f3-4916-ac10-0f9d76e098c7
Source ID8f4bf702-5303-45ff-9d28-bb6549324ac5
Board ID8f4bf702-5303-45ff-9d28-bb6549324ac5
Provideroracle_hcm
Provider Job Key5405
TitleDTICI_Snowflake_Data_engineer_T8
Normalized Title
Statusactive
Activeyes
Location TextWhitefield Palms, Plot No. 9 &, Kansas City, MO, US
DepartmentAftersales
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMO
CityKansas City
Salary RawDescription 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 URLhttps://fa-exdu-dev2-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/de/sites/CX_1/job/5405
Apply URLhttps://fa-exdu-dev2-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/de/sites/CX_1/job/5405
First Seen At2026-05-31 18:06:01Z
Last Seen At2026-06-06 11:37:12Z
Last Checked At2026-06-06 11:37:12Z
Last Changed At2026-05-31 18:06:01Z
Inactive At
Source Posted At2025-11-13 12:30:40Z
Source Updated At
Raw Payload Uris3://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
Event Fields
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Parsed Structured
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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,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "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
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  "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=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/05c7760f-74f3-4916-ac10-0f9d76e098c7JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/8f4bf702-5303-45ff-9d28-bb6549324ac5JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/cfbcf014e35ef0def70f2e1cd20fd7462307f850/eventsJSON