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HomeCompaniesFa Etbm Saasfaprod1 Fa Ocs Oraclecloud Com CX 1Data Engineer

Data Engineer

Fa Etbm Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · India; Chandaragiri- TVM, Trivandrum, Kerala, IN · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Etbm Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
TitleData Engineer
Normalized title-
Department / team-
LocationKerala, IN, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-20 / 2026-05-31
Changed / last seen2026-06-04 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Etbm 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 Kerala.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 Etbm Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
Source28b88a9f-5879-42a4-80ff-5f01ea9a80ed
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description What you’ll do: • Design, build and maintain data processing ETL pipelines & data products in a multi-cloud, multi-region, distributed processing context choosing the right technologies. • Drive data investigations to deliver a resolution of technical, procedural, and operational issues. • Solve complex business problems by utilizing disciplined development methodology, producing scalable, flexible, efficient and supportable solutions using appropriate technologies. Skills: Data engineering patterns: Sound knowledge of the different data engineering patterns to determine what to use and when Data architecture: Understanding of data architecture and frameworks like Data mesh, data fabric etc. Big Data Technologies: Proficiency in big data technologies such as data lake, EMR, Glue for analysing large datasets. Programming Languages: Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala. with OOP expertise Data Warehousing: Strong knowledge of data warehousing solutions preferably Amazon Snowflake. ETL/ELT Tools: Familiarity with orchestration tools Database Systems: Expertise in both relational and NoSQL databases. Data Modelling: Skill in designing efficient data models, both for OLAP and OLTP systems. Streaming Data: Knowledge of streaming data technologies. Version Control: Experience with version control systems : Git. Containerization and Orchestration: Understanding of containerization technologies (Docker) and container orchestration platforms (Kubernetes). Data Security: Knowledge of data encryption, access control, and compliance with data privacy regulations. Monitoring and Logging: Proficiency in setting up monitoring and logging solutions for data pipelines using different tools

Full job record

Job ID374855a2285d725d6e271b5742a3c70b02402323
Org ID14afc88c-6345-4d2a-975a-4c58845dd14c
Source ID28b88a9f-5879-42a4-80ff-5f01ea9a80ed
Board ID28b88a9f-5879-42a4-80ff-5f01ea9a80ed
Provideroracle_hcm
Provider Job Key2776
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextIndia; Chandaragiri- TVM, Trivandrum, Kerala, IN
Department
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionIN
CityKerala
Salary RawDescription What you’ll do: • Design, build and maintain data processing ETL pipelines & data products in a multi-cloud, multi-region, distributed processing context choosing the right technologies. • Drive data investigations to deliver a resolution of technical, procedural, and operational issues. • Solve complex business problems by utilizing disciplined development methodology, producing scalable, flexible, efficient and supportable solutions using appropriate technologies. Skills: Data engineering patterns: Sound knowledge of the different data engineering patterns to determine what to use and when Data architecture: Understanding of data architecture and frameworks like Data mesh, data fabric etc. Big Data Technologies: Proficiency in big data technologies such as data lake, EMR, Glue for analysing large datasets. Programming Languages: Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala. with OOP expertise Data Warehousing: Strong knowledge of data warehousing solutions preferably Amazon Snowflake. ETL/ELT Tools: Familiarity with orchestration tools Database Systems: Expertise in both relational and NoSQL databases. Data Modelling: Skill in designing efficient data models, both for OLAP and OLTP systems. Streaming Data: Knowledge of streaming data technologies. Version Control: Experience with version control systems : Git. Containerization and Orchestration: Understanding of containerization technologies (Docker) and container orchestration platforms (Kubernetes). Data Security: Knowledge of data encryption, access control, and compliance with data privacy regulations. Monitoring and Logging: Proficiency in setting up monitoring and logging solutions for data pipelines using different tools
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-etbm-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2776
Apply URLhttps://fa-etbm-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2776
First Seen At2026-05-31 17:57:47Z
Last Seen At2026-06-22 14:53:26Z
Last Checked At2026-06-22 14:53:26Z
Last Changed At2026-06-04 10:50:53Z
Inactive At
Source Posted At2026-05-20 05:55:56Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-etbm-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-22/2026-06-22T14-53-15-256Z-9d13502af957e97b038824d26445b052602ac9284da920344aa930e2d7608d45.json
Event Fields
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}
Parsed Structured
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Extensions
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Native Structured
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