Intro and job overview:

You will join a team working with next gen technologies on geospatial solutions to identify areas for future growth, new customers, and new markets in the Geocoding & data integrity space. You will be working on the distributed computing platform to migrate existing geospatial datasets creation process-and bring more value to Precisely’ s customers and grow market share.

Responsibilities and Duties:

• You will be working on the distributed computing platform to migrate the existing Geospatial data processes including SQL scripts, groovy scripts.
• Develop validation frameworks to check geospatial accuracy, consistency, and completeness.
• Identify data discrepancies, root causes, and recommend solutions for improvement.
• Define and execute test strategies for geocoding datasets, ensuring precision and integrity.
• You will be working closely with Domain/Technical experts and drive the overall modernization of the existing processes.
• Explore and implement new tools, technologies, and methodologies for geocoding data quality management.
• Participate in problem determination and debugging of software product issues by using technical skills and tools to isolate the cause of the problem in an efficient and timely manner.
• Automate routine quality checks and build dashboards for real-time data monitoring.
• Work closely with product managers, developers, and data scientists to align on data quality goals.
• Provide documentation needed to thoroughly communicate software functionality.
• Present technical features of product to customers and stakeholders as required.
• Ensure timelines and deliverables are met.
• Participate in the Agile development process.

Requirements and Qualifications:

• UG - B.Tech/B.E. OR PG – M.S. / M.Tech in Computer Science, Engineering, Geoinformatics, Data Science, or related discipline.
• Minimum 6 Years of total work experience in software testing.
• Minimum 3 years of experience implementing and managing geospatial solutions/technologies and tools (e.g., GIS software, geocoding APIs, QGIS).
• Must have - Experience with data pipelines, ETL processes, Spark and geocoding frameworks.
• Must Have - Expert level in programming language Java, Python and Groovy.
• Expert level in writing optimized SQL queries, procedures, or database objects to support data extraction, manipulation in data environment.
• Expert in script automation in Gradle and Maven.
• Experience in SQL, database warehouse and data engineering concepts.
• Experience with AWS platform provided Big Data technologies (IAM, EC2, S3, EMR, RedShift, Lambda, Aurora, SNS, etc.)
• Strong analytical, problem-solving, data analysis and research
• Good knowledge of Continuous Build Integration (Jenkins / Gitlab pipeline)
• Experience with agile development and working with agile engineering teams
• Problem Solving and Troubleshooting – Proven ability to analyse and solve complex data problems, troubleshoot data pipelines issues effectively.
• Excellent interpersonal skills.
• Preferred Requirements:
• Familiarity with large-scale geospatial datasets and address data standards.
• Knowledge of machine learning techniques for geospatial data validation.
• Knowledge on programming language Python.
• Strong communication and collaboration skills.

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