Data engineer

Job Summary :
The GeoSpatial Sr. Analyst MAP role involves leveraging advanced geospatial technologies to drive data-driven insights and solutions. With a focus on Azure Data Factory, Java, Python, Scala, and PySpark, the candidate will contribute to optimizing data processes and enhancing analytical capabilities. This hybrid role requires a strategic thinker who can work effectively in a day shift environment. 3. Experience : 6 - 10 years 4. Required Skills : Technical Skills: Azure Data Factory,Java,Python,Scala,PySpark Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : - Utilize Azure Data Factory to design and implement efficient data pipelines that enhance data processing capabilities. - Develop and maintain geospatial applications using Java to ensure robust and scalable solutions. - Apply Python programming skills to analyze geospatial data and derive actionable insights for business strategies. - Implement Scala for high-performance data processing tasks, ensuring optimal resource utilization. - Leverage PySpark to process large datasets, enabling timely and accurate data analysis. - Collaborate with cross-functional teams to integrate geospatial data into existing business processes. - Conduct thorough data analysis to identify trends and patterns that support decision-making processes. - Ensure data quality and integrity by implementing rigorous validation and verification procedures. - Provide technical expertise in geospatial technologies to support project development and execution. - Design and develop custom geospatial solutions tailored to specific business needs. - Optimize data storage and retrieval processes to improve system performance and efficiency. - Stay updated with the latest advancements in geospatial technologies to drive innovation. - Communicate findings and recommendations to stakeholders to facilitate informed decision-making. Qualifications - - Demonstrate proficiency in Azure Data Factory for data pipeline management. - Possess strong Java programming skills for application development. - Exhibit expertise in Python for data analysis and solution implementation. - Have experience in Scala for efficient data processing tasks. - Show proficiency in PySpark for handling large-scale data operations. 9. Job Location :
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.