| Location | Jersey City, NJ |
ITnova is seeking Data Engineer / Developers to support the Port Authority of New York and New Jersey (PANYNJ) Aviation Department's Aviation Data Analytics Warehouse (ADAW). The ideal candidates will have experience developing and maintaining cloud-based data pipelines, ELT workflows, and data warehouse solutions using Microsoft Azure technologies, including Azure Synapse Analytics, Azure Data Factory, Azure SQL, and Databricks. These roles will support data ingestion and integration, data transformation, database development, Power BI semantic modeling, data quality monitoring, and report validation. Experience with Microsoft Power Apps and governed data entry applications is also desirable.
Develop new and maintain existing data pipelines within ADAW, including configuring automated data extraction processes and troubleshooting ingestion failures and data source connectivity issues.
Design, build, and maintain Extract, Load, Transform (ELT) workflows, including standardizing and cleansing data according to PANYNJ data governance standards and business rules.
Develop reusable data transformation frameworks in Azure Synapse Analytics and optimize pipeline performance and data processing.
Create, maintain, and manage database objects, including tables, views, and stored procedures, to support Azure Synapse serverless and dedicated SQL pools and SQL Server databases.
Design, develop, and maintain efficient Power BI semantic models to support business intelligence, reporting, and analytics requirements.
Develop and maintain front-end data entry applications, including Microsoft Power Apps, to support secure, streamlined, and governed data entry workflows within the ADAW ecosystem.
Develop and maintain automated daily data quality checks to identify anomalies and inconsistencies, investigate root causes, and escalate issues to the Data Engineering team.
Validate dashboards and reports against business requirements, verifying calculations, data fields, and reported results for accuracy and consistency.
Collaborate with the Data Engineering team, business stakeholders, and other technical teams to troubleshoot issues and support ongoing platform enhancements.
Document data pipelines, transformation logic, database objects, data quality rules, and technical processes.
Experience developing and maintaining data pipelines, data integrations, and ELT workflows.
Experience with Microsoft Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure SQL, and/or Databricks.
Strong SQL skills, including developing and maintaining tables, views, stored procedures, and other database objects.
Experience with data transformation, cleansing, standardization, and applying business rules to data.
Experience working with relational databases and data warehouse environments, including SQL Server.
Experience designing or maintaining Power BI semantic models and supporting business intelligence and reporting requirements.
Experience troubleshooting data pipeline failures, data connectivity issues, and data quality problems.
Strong analytical and problem-solving skills, attention to detail, and the ability to investigate data discrepancies and identify root causes.
Ability to document technical solutions and collaborate effectively with technical teams and business stakeholders.
Experience with Azure Synapse serverless and dedicated SQL pools.
Experience developing reusable data transformation frameworks and optimizing ELT pipeline performance.
Experience with Microsoft Power Apps or other front-end data entry application development.
Experience implementing automated data quality checks, anomaly detection, and data validation processes.
Experience validating Power BI dashboards and reports against business requirements and verifying calculations and data fields.
Familiarity with data governance standards, data quality rules, and controlled data entry workflows.
Experience with Azure DevOps, Agile development practices, version control, testing, and deployment processes.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)
Full-time remote ( Mon – Fri, 9:00 am – 5:00 pm EST)
Benefits:
ITnova is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.