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Job Description

SMART TECH SKILLS LLC offers a Senior-level opportunity for an Informatica and Snowflake Data Engineer in a hybrid setup. If you value building reliable enterprise data pipelines and improving production stability, this role focuses on data integration design, ETL/ELT development, and ongoing support.

Based in Tallahassee, FL (hybrid) (Senior level, 8+ years), you will deliver scalable solutions using Informatica PowerCenter and Informatica Cloud, with Snowflake for data loading and performance-focused schema and query work. The role also emphasizes documentation, requirements gathering, and collaboration across business and technical stakeholders.

Responsibilities

  • Develop and maintain ETL workflows using Informatica PowerCenter, including mappings, sessions, workflows, and reusable transformations.
  • Ingest data from multiple heterogeneous sources such as flat files, APIs, relational databases, and mainframe extracts into Oracle databases.
  • Build and support cloud-based ETL/ELT solutions with Informatica Cloud Data Integration.
  • Write and optimize Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning for ETL-related queries.
  • Load data into Snowflake and help with schema design and query performance optimization.
  • Troubleshoot and resolve data quality issues, job failures, and performance bottlenecks in production ETL pipelines.
  • Gather data requirements, perform source-to-target mapping, and document data flow and design specifications.
  • Analyze user requirements and operational procedures to identify opportunities for automation or system improvement.
  • Support batch data loads using scheduling/orchestration tools such as Control-M, Autosys, or the Informatica scheduler.
  • Collaborate with business and technical stakeholders to deliver scalable data engineering solutions.
  • Confer with organizational units to analyze current procedures and define input/output and reporting requirements.

Requirements

  • 8+ years of experience as a Data Engineer/Systems Analyst designing, developing, and supporting data integration solutions in an enterprise environment.
  • 8+ years of hands-on ETL workflow development and maintenance using Informatica PowerCenter.
  • 8+ years ingesting data from multiple heterogeneous sources into Oracle databases.
  • 8+ years strong working knowledge of Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning.
  • 8+ years experience with Snowflake, including data loading, schema design, and query performance optimization.
  • 8+ years experience with Informatica PowerCenter and/or Informatica Cloud Data Integration for cloud-based ETL/ELT development.
  • 8+ years gathering data requirements, performing source-to-target mapping, and documenting data flow/design specifications.
  • 8+ years troubleshooting data quality issues, job failures, and performance bottlenecks in production ETL pipelines.
  • 8+ years experience with job scheduling/orchestration tools such as Control-M, Autosys, or Informatica scheduler.

Technologies

  • Informatica PowerCenter
  • Oracle SQL/PL-SQL
  • Oracle databases
  • Snowflake
  • Informatica Cloud Data Integration
  • Control-M
  • Autosys
  • Informatica scheduler
  • SAP Business Objects Universe

Preferred Qualifications

  • Experience with SAP Business Objects Universe design and/or maintenance.
  • Experience working in a state government or large enterprise IT environment with formal SDLC and change management processes.

Benefits

  • Competitive salary

Core Skills & Attributes

  • Strong analytical and problem-solving skills with a detail-oriented approach to data engineering.
  • Excellent written and verbal communication skills for engaging business and technical stakeholders.
  • Comfort working within structured SDLC environments and formal change management processes.
  • Strong troubleshooting mindset for production support and performance optimization.
  • Collaborative and adaptable, able to work effectively across business and technical teams.

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