ETL Developer​/Data Engineer

• EXPERIENCE 4 Years
• LOCATION New York City

Seeking an
ETL Developer / Data Engineer with 4+ years of experience
to design, develop, and optimize data, APIs, and database solutions across SQL Server, Oracle, and geospatial platforms. The role includes building automated ETL workflows, ensuring data quality, and collaborating with cross-functional teams for high-impact data initiatives.

Key Responsibilities:

• Extract geographic and non-geographic data from Oracle and SQL Server databases, ensuring the integrity and quality of the data.
• Transform raw data into structured formats suitable for analysis, reporting, and system integration.
• Design and implement data pipelines for efficient handling of large datasets.
• Automate ETL integrations using SQL Server Integration Services (SSIS).
• Perform data analysis to drive key business objectives.
• Document ETL processes, data models, and API specifications for transparency and knowledge sharing.
• Develop, test, and maintain ETL workflows and scripts to automate data processing.
• Monitor ETL processes to ensure reliability, scalability, and performance.
• Perform data modeling and database design for application development and product implementation initiatives under the guidance of Database Administrator and Architectli>
• Create reporting solutions using SQL Server Reporting Services (SSRS) by analyzing user needs and information availability.
• Troubleshoot and resolve data-related issues promptly.
• Create APIs to enable data access and integration with various applications and systems.
• Ensure APIs are secure, performant, and adhere to industry standards.
• Collaborate with developers and analysts to design API endpoints that meet business requirements.
• Work with analysts, developers, and stakeholders to understand data requirements.
• Participate in requirements definition, analysis and design.
• Work closely with business analysts, subject matter experts and development teams in design, development, testing, implementation, and support of application projectsli>
• Facilitate creation, migration and maintenance of database objects across development/ QA/ production environments.
• Follow best practices in data modeling including use of standard naming conventions, processes and templates to ensure consistency of data models.
• Monitor and optimize database performance and capacity utilization to provide high availability and redundancy.
• Take ownership of database performance, scalability and security.
• Define and implement data testing strategies with business stakeholders, application development teams and QA groups.
• Participate in the software testing process, including identification and resolution of defects.
• Contribute to and support roll-out strategies.
• Participate in and contribute to formal/informal technical reviews and presentations.
• Accurately estimate time required to complete development tasks.
• Demonstrate the ability to cooperate with a variety of people and achieve results.
• Mentor and guide development team members on database-related tasks.
• Provide technical support and knowledge transition to team members and end users as needed.
• Communicate effectively with team members, stakeholders, and project managers to gather requirements, provide updates, and manage expectations.
• Create and maintain technical documentation, including system designs, workflows, and user guides.
• Ensure solutions comply with industry best practices, standards, and security protocols.
• Prepare documentation and conduct knowledge transition to support Required
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Geographic Information Systems (GIS), or a related field. Master's degree is a plus.
  • Minimum of 4 years as ETL Developer, Data Engineer, or similar role, with a focus on geographic data.
  • Proficiency in T‑SQL and PL/SQL with experience working with Microsoft SQL Server, Oracle, and Postgre
    
    SQL databases.
  • Familiarity with SSRS, SSAS, SSIS and data warehousing concepts like ETL, Dimensions, Facts, Cubes.
  • Demonstrated knowledge of designing, developing and integrating databases, data warehouses and multidimensional databases in MS‑SQL Server.
  • Knowledge of data integration patterns,…