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Principal Software Engineer, Quality Management
8-13 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Principal Software Engineer, Quality Management
Precisely
posted 9d ago
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Flexible timing
Key skills for the job
Job Description
- 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.
- UG - B.Tech/B.E. OR PG - M.S. / M.Tech in Computer Science, Engineering, Geoinformatics, Data Science, or related discipline.
- Minimum 8 Years of total work experience in software testing.
- Atleast 5 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.
Employment Type: Full Time, Permanent
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