Data Warehouse Developer/DBA

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

Business Analytics Applications Data Analysis Databases Data Integration Extract Transform Load (ETL) Data Mart Data Transformation Data Mining Data Structures Data Systems Data Warehousing Database Design
+23 more
Database Development Database Schema IBM InfoSphere DataStage IBM Cognos Business Intelligence Metadata Microsoft SQL Server MicroStrategy Oracle Databases Oracle (Applications) Oracle SQL Developer Performance Tuning Power BI Standard Sql SQL Databases Teradata SQL Enterprise Data Management Oracle Hyperion Snowflake Sap Business Objects Star Schema Tools for Reporting Sql Tuning Service Stack

Job description

The State of Texas is seeking an experienced Senior Data Warehouse Developer/DBA with strong hands-on expertise in Enterprise Data Warehousing, Data Marts, Data Modeling, ETL, Snowflake, Oracle, SQL, Business Objects, and Power BI.

The ideal candidate will have extensive experience designing, developing, implementing, maintaining, and supporting enterprise-class data warehouse environments and business intelligence solutions., * Design, develop, implement, and maintain Enterprise Data Warehouse (EDW) solutions.

  • Design, develop, and maintain Data Marts to support business reporting and analytical requirements.
  • Develop and maintain data warehouse population and data integration processes.
  • Analyze business and technical requirements and translate them into effective data warehouse solutions.
  • Develop logical and physical data models based on business and technical requirements.
  • Design and implement Star Schema, Snowflake Schema, and highly normalized data models.
  • Develop and maintain ETL processes for extracting, transforming, and loading data from multiple source systems.
  • Utilize Informatica, IBM WebSphere DataStage, or similar ETL tools for enterprise data integration.
  • Perform data extraction, transformation, validation, cleansing, and loading activities.
  • Work with Snowflake and enterprise database environments to support data warehouse and analytical solutions.
  • Develop and optimize complex Oracle SQL queries, procedures, and database objects.
  • Support enterprise-class databases such as Oracle, Snowflake, SQL Server, Teradata, or similar technologies.
  • Develop and maintain reporting and analytical solutions using Business Objects and Power BI.
  • Support BI platforms such as Cognos, Hyperion, MicroStrategy, or similar reporting technologies.
  • Build and maintain data dictionaries, metadata, business definitions, and technical documentation.
  • Analyze data warehouse performance, data quality, and integration issues and coordinate appropriate resolutions.
  • Participate in the complete data warehouse implementation lifecycle, including requirements analysis, logical modeling, physical database design, data sourcing, transformation, loading, SQL development, and reporting.
  • Collaborate with technical and non-technical stakeholders to understand business requirements and deliver effective data solutions.
  • Perform data analysis and validation to ensure accuracy, consistency, completeness, and reliability of enterprise data.
  • Support troubleshooting, root-cause analysis, performance optimization, and production issue resolution.
  • Manage multiple priorities while working effectively with cross-functional teams.
  • Communicate technical concepts and analytical findings clearly to both technical and business audiences.

Minimum Required Technical Skills

Data Warehousing & Data Marts

  • Enterprise Data Warehouse development, implementation, and maintenance
  • Data Mart design and management
  • Data warehouse population
  • Data integration

Data Modeling

  • Star Schema
  • Snowflake Schema
  • Highly Normalized Data Models
  • Logical Data Modeling
  • Physical Data Modeling

ETL / Data Integration

  • Informatica
  • IBM WebSphere DataStage or similar ETL tools
  • Data extraction
  • Data transformation
  • Data loading
  • ETL workflow development and support

Database Technologies

  • Snowflake
  • Oracle Database
  • SQL
  • Enterprise-class database environments
  • Database design and implementation

BI & Reporting

  • Business Objects
  • Power BI
  • Cognos
  • Hyperion
  • MicroStrategy
  • Similar enterprise reporting and analytical tools

Requirements

  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Strong teamwork and interpersonal skills.
  • Ability to work effectively with technical and non-technical stakeholders.
  • Ability to manage multiple responsibilities and priorities.
  • Strong understanding of data warehouse implementation methodologies.
  • Experience with database and SQL performance analysis.
  • Ability to document technical solutions, data structures, and business requirements.

Ideal Candidate Profile

The ideal candidate should have 12+ years of experience and strong hands-on expertise across the following technology stack:

Snowflake + Data Warehousing + Data Modeling + ETL + Informatica/DataStage + Oracle + SQL + Business Objects + Power BI

Candidates should also demonstrate strong experience with enterprise data warehouse implementations, data marts, database technologies, BI/reporting platforms, data integration, and analytical solutions., Candidates must currently reside in Texas and must be able to work onsite in Austin, TX every Wednesday, Thursday, and Friday.

Please submit candidates who can meet the required hybrid schedule and possess the required data warehouse, ETL, database, and BI experience.

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.

3:52 min

Navigating data warehouse performance for application developers

Adnan Rahic · JS Congress

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · World Congress 2022

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

See all

Related articles

See all