Data Engineer - Informatica

Conquest Consulting
Austin, TX, United States
8 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Query Performance Application Programming Interfaces (APIs) Data Analysis CA Workload Automation Ae Information Engineering Data Integration Extract Transform Load (ETL) Data Mapping Data Transformation Data Structures Relational Databases Document-Oriented Databases
+27 more
Job Scheduling Mainframes Operational Databases Oracle Databases Oracle (Applications) Oracle SQL Developer Performance Tuning Process Driven Development Systems Development Life Cycle Software Requirements Analysis SQL Stored Procedures PL-SQL SQL Databases Data Streaming Enterprise Data Management Data Processing Data Ingestion Informatica Powercenter Snowflake Informatica Cloud Database Performance Sap Business Objects Information Technology Enterprise Integration Data Delivery Data Pipelines Control M

Job description

The State of Texas is seeking a highly experienced Senior Data Engineer with strong expertise in Informatica PowerCenter, Oracle SQL/PL-SQL, Snowflake, Data Integration, ETL/ELT, and SAP Business Objects.

The ideal candidate will have extensive experience designing, developing, implementing, troubleshooting, and supporting enterprise data integration and data engineering solutions in large-scale environments.

The candidate should be comfortable working with heterogeneous data sources, developing complex ETL workflows, performing source-to-target mapping, resolving production data quality issues, optimizing ETL performance, and collaborating with both technical and business stakeholders.

Top 10 Required Skills

  1. Informatica PowerCenter / ETL
  2. Oracle SQL / PL-SQL
  3. Data Integration / Data Engineering
  4. Snowflake
  5. ETL / ELT
  6. Source-to-Target Mapping & Data Requirements
  7. Heterogeneous Data Ingestion
  8. ETL Production Support & Data Quality
  9. Job Scheduling / Batch Orchestration
  10. SAP Business Objects, * Design, develop, implement, and support enterprise data integration and data engineering solutions. * Develop and maintain complex Informatica PowerCenter ETL workflows, including mappings, sessions, workflows, and reusable transformations. * Design and implement scalable ETL/ELT processes for enterprise data environments. * Ingest data from multiple heterogeneous source systems, including flat files, APIs, relational databases, mainframe extracts, and other enterprise sources. * Develop and optimize Oracle SQL and PL/SQL, including stored procedures, packages, and ETL-related queries. * Work with Snowflake for data loading, schema design, data integration, and query performance optimization. * Develop cloud-based ETL/ELT solutions using Informatica Cloud Data Integration (IICS) where applicable. * Gather and analyze data requirements from business and technical stakeholders. * Perform source-to-target mapping and document data flows, transformation rules, and technical design specifications. * Analyze business objectives, operational procedures, and system requirements to identify opportunities for automation and system improvements. * Evaluate alternative technical solutions and contribute to feasibility and cost/benefit analysis. * Analyze existing computer systems and data processing procedures to determine opportunities for enhancements and improvements. * Translate user requirements into detailed functional and technical specifications for data engineering and system development activities. * Collaborate with organizational units and stakeholders to understand data inputs, outputs, reporting requirements, data structures, and processing needs. * Troubleshoot and resolve ETL job failures, data quality issues, data discrepancies, and performance bottlenecks in production environments. * Monitor ETL pipelines and batch processes to ensure successful and timely data delivery. * Work with job scheduling and orchestration tools such as Control-M, AutoSys, or Informatica Scheduler. * Support production releases, change requests, incident resolution, and system enhancements. * Develop, maintain, and troubleshoot SAP Business Objects Universes and related reporting environments. * Perform ETL and database performance optimization to improve processing efficiency and reliability. * Maintain technical documentation related to ETL workflows, data mappings, system processes, and data integration solutions. * Participate in structured SDLC, change management, testing, implementation, and production support activities. * Collaborate with developers, database administrators, business analysts, QA teams, architects, and business stakeholders.

Requirements

  • 15+ years of overall IT experience - Mandatory.
  • Experience as a Data Engineer / Systems Analyst designing, developing, and supporting enterprise data integration solutions.
  • Strong hands-on experience with Informatica PowerCenter.
  • Experience developing and maintaining Informatica mappings, sessions, workflows, and reusable transformations.
  • Strong experience with Oracle SQL/PL-SQL.
  • Experience with Oracle stored procedures, packages, and performance tuning.
  • Experience ingesting data from multiple heterogeneous sources into Oracle databases.
  • Hands-on experience with Snowflake, including data loading, schema design, and query performance optimization.
  • Experience with Informatica PowerCenter and/or Informatica Cloud Data Integration (IICS).
  • Strong experience gathering data requirements and performing source-to-target mapping.
  • Experience documenting data flows, transformation rules, and technical design specifications.
  • Strong experience troubleshooting production ETL pipelines, job failures, data quality issues, and performance bottlenecks.
  • Experience with Control-M, AutoSys, Informatica Scheduler, or similar job scheduling/orchestration tools.
  • Experience with SAP Business Objects Universe design and/or maintenance.
  • Experience working in a state government or large enterprise IT environment.
  • Familiarity with formal SDLC and change management processes.

Technical Environment

ETL / Integration: Informatica PowerCenter, Informatica Cloud Data Integration, ETL/ELT

Databases: Oracle, Snowflake, SQL, PL/SQL

Data Engineering: Data Integration, Data Ingestion, Source-to-Target Mapping, Data Quality, Data Transformation

Scheduling: Control-M, AutoSys, Informatica Scheduler

BI / Reporting: SAP Business Objects, Universe Design/Maintenance

Development Methodology: SDLC, Change Management, Production Support

Ideal Candidate Profile

The ideal candidate will have extensive enterprise-level experience across:

Informatica PowerCenter + Oracle SQL/PL-SQL + Snowflake + ETL/ELT + Data Integration + Source-to-Target Mapping + Heterogeneous Data Ingestion + Production ETL Support + SAP Business Objects

Strong analytical, problem-solving, communication, documentation, and stakeholder management skills are required.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:46 min

Navigating a career in cloud transformation consulting

Piet Van Dongen · LIVE

4:45 min

Validating subjective user reports with throwaway data services

Nico Seyboth Nico Seyboth +1 · World Congress 2025

Videos

See all

Related articles

See all