Systems Analyst 3-Snowflake Administrator

Digerati Systems Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Digerati Systems Inc. in Austin, TX is seeking an Informatica ETL/Data Engineer with 8+ years of experience to design, develop, and support enterprise data integration solutions.

You will work with Informatica PowerCenter, Oracle SQL/PLSQL, Snowflake, and batch job scheduling, delivering scalable data pipelines and ensuring data quality and performance. Strong communication and SDLC experience are essential as you collaborate with business and technical stakeholders in a large enterprise

Qualifications

• 8+ years of experience as a Data Engineer/Systems Analyst in an enterprise setting.
• Hands-on ETL development with Informatica PowerCenter, mappings, sessions, and workflows.
• Experience ingesting data from multiple heterogeneous sources into Oracle databases.
• Strong Oracle SQL/PLSQL skills, including performance tuning.
• Experience with Snowflake data loading, schema design, and query optimization.
• Proficient in Informatica PowerCenter Cloud/Data Integration for cloud ETL/ELT.
• Ability to capture data requirements, perform source-to-target mapping, and document data flows.
• Troubleshoot data quality issues, job failures, and production ETL performance bottlenecks.
• Familiarity with job scheduling/orchestration tools (Control-M/Autosys/Informatica Scheduler).
• Desirable: SAP Business Objects Universe work and experience in large enterprise IT environments.

Responsibilities

• Design, develop, and support enterprise data integration solutions.
• Build and maintain ETL workflows, mappings, sessions, and reusable components.
• Ingest data from diverse sources (flat files, APIs, relational databases) into Oracle/Snowflake.
• Optimize performance and manage batch data loads using scheduling tools.
• Collaborate with business and technical stakeholders within a structured SDLC.

Tools

Informatica PowerCenter

Informatica Cloud Data Integration

Snowflake

Oracle SQL/PLSQL

Control-M

Autosys

Informatica Scheduler

Source-to-Target Mapping

Batch data ingestion

Job description

Informatica ETL/Data Engineer with 8+ years of experience designing, developing, and supporting enterprise data integration solutions. Expertise in Informatica PowerCenter, Oracle SQL/PLSQL, ETL workflows, data ingestion from diverse source systems, and production support.

Hands-on experience with Snowflake, Informatica Power center, source-to-target mapping, data quality management, performance optimization, and batch job scheduling in large enterprise environments.

Strong analytical and communication skills with experience working in structured SDLC environments, collaborating with business and technical stakeholders to deliver scalable data engineering solutions.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

• 8 Required Experience as a Data Engineer/Systems Analyst designing, developing, and supporting data integration solutions in an enterprise environment
• 8 Required Hands-on experience developing and maintaining ETL workflows using Informatica PowerCenter, including mappings, sessions, workflows, and reusable transformations
• 8 Required Experience ingesting data from multiple heterogeneous source systems (flat files, APIs, relational databases, mainframe extracts, etc.) into Oracle databases
• 8 Required Strong working knowledge of Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning of ETL-related queries
• 8 Required Experience with Snowflake, including data loading, schema design, and query performance optimization
• 8 Required Experience with Informatica Power center / Informatica Cloud Data Integration for cloud-based ETL/ELT development
• 8 Required Experience gathering data requirements, performing source-to-target mapping, and documenting data flow/design specifications
• 8 Required Experience troubleshooting and resolving data quality issues, job failures, and performance bottlenecks in production ETL pipelines
• 8 Required Experience with job scheduling/orchestration tools (e.g., Control-M, Autosys, or Informatica scheduler) supporting batch data loads
• 3 Preferred Experience with SAP Business Objects Universe design and/or maintenance 11
• 3 Preferred Experience working in a state government or large enterprise IT environment, following formal SDLC and change management processes