Role Description
The below job opportunity is to one of Our clients is an American telecommunications company headquartered in Monroe, Louisiana, that offers communications, network services, security, cloud solutions, voice, and managed services.
Qualifications
Typically [RATE REDACTED]+ years of experience in data engineering, analytics, or data platform development
Demonstrated hands-on experience working with Databricks / Spark-based data platforms
Proven experience delivering complex, multi-source data integration and reporting solutions in enterprise environments
Experience working with integrated data domains (e.g., product, service, resource, or asset/inventory data) is strongly preferred
Ability to operate independently in cross-functional environments, engaging with architecture teams and business stakeholders to resolve data gaps and define logic
Requirements
Design and develop interactive dashboards and reports natively in Databricks, supporting multiple user views, drill-down capabilities, and segmented insights
Integrate and model data from multiple enterprise data sources (e.g., Data Hub, operational systems, financial systems, etc.) into a unified reporting layer
Implement complex business logic and transformations required to produce accurate, governed datasets for reporting
Align solutions to Databricks Lakehouse (medallion) architecture including Bronze, Silver, and Gold layers
Collaborate with Enterprise Architecture and Data Architecture teams to ensure adherence to data standards, governance, and modeling practices
Partner with Business SMEs to define KPIs, metrics, and reporting requirements and ensure outputs meet executive and operational needs
Optimize query performance and ensure scalability of dashboards across large datasets
Support iterative development including enhancements, new views, and evolving data requirements
Benefits
Strong hands-on experience with Databricks (Azure/AWS) and Lakehouse architecture
Deep understanding of medallion architecture (Bronze/Silver/Gold layers) and data lifecycle management
Experience building Databricks SQL dashboards or Databricks-native reporting solutions
Proficiency in Spark, PySpark, SQL, and notebook-based development
Experience working with multiple heterogeneous data sources across the enterprise
Strong skills in data transformation, data modeling, and data pipeline design
Familiarity with data normalization, dimensional modeling, and semantic layers
Ability to implement complex joins, aggregations, and business rules
Proven ability to design multi-view dashboards with drill-downs and segmentation
Experience delivering executive-level dashboards and operational reporting solutions
Strong understanding of data storytelling and usability
Experience working in cross-functional teams with Enterprise Architecture, Data Architecture, and Business SMEs
Strong communication skills to translate technical solutions into business insights
Experience working in agile or iterative delivery environments
Company Description
TekWissenÂŽ Group is an equal opportunity employer supporting workforce diversity.