Enterprise Data Pipeline Engineer (Oracle/Cloud)

SkillSetGroup

Job Description
Job Description
What a Day Looks Like
Your morning begins by scanning orchestration dashboards and pipeline health checks. A validation alert flags a mismatch—your automated data-quality suite catches it early. You dig in with advanced SQL and PL/SQL, tune a query against Oracle Database, and restore freshness SLAs. By midday, you’re pairing with Analytics and BI partners to translate evolving business requirements into scalable technical designs. In the afternoon, you refactor an ETL workflow—shifting a legacy step into an Informatica or Talend job—and set up lineage tracking so governance and audit teams see end-to-end traceability. You close the day with a pull request, CI/CD checks green, and a quick mentoring session to help a teammate optimize a Spark job.
What You’ll Build
Robust enterprise ETL pipelines that move and transform data reliably at scale
Complex SQL and PL/SQL logic optimized for performance on Oracle Database
Cloud-ready data flows across Oracle Cloud, AWS, Azure, or Google Cloud
Automated validation frameworks that enforce data-quality rules and checks
Governance assets: metadata capture, lineage mapping, and access controls
High-reliability pipelines with proactive monitoring and tuning
Translation of analytics/BI requirements into production-grade solutions
Modernized patterns leveraging new data technologies and platforms
Team capability through technical guidance and mentoring
Tech You’ll Use
SQL, PL/SQL; Oracle Database (advanced)
ETL tools such as Informatica, Talend, Fivetran, or OCI Data Integration
Cloud services on Oracle Cloud, AWS, Azure, or Google Cloud
Python and/or Shell scripting for tooling and automation
Airflow (or similar) for orchestration and workflow management
Spark/Hadoop for large-scale data processing
Git with CI/CD pipelines for versioning and delivery
Data modeling, including dimensional modeling techniques
What You Bring
4+ years in Data Engineering, Data Architecture, or closely related roles
Proven enterprise ETL and data-pipeline expertise
Advanced SQL and PL/SQL proficiency
Deep Oracle Database experience
Hands-on use of leading ETL tools (Informatica, Talend, Fivetran, OCI Data Integration, or similar)
Cloud exposure across Oracle Cloud and/or AWS/Azure/GCP
Python and/or Shell scripting capabilities
Airflow (or equivalent) orchestration experience
Spark/Hadoop familiarity for big data
Strong data and dimensional modeling skills
Comfort with Git and CI/CD practices
Bachelor’s in CS, Data/Information Systems, or related; equivalent experience considered
Excellent communication, problem-solving, and collaboration

Vacancy posted 6 days ago

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