Python Developer with ETL and Postgres Exp

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About Us:

Radiant Digital delivers technology consulting and business solutions for commercial and government clients.

Our flexible delivery model allows us to provide end-to-end solution delivery, single project execution, and, or strategic resources.

CMMI Maturity Level III and ISO 9001 - 2015 certified.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience as an ETL Developer or similar role, with a strong understanding of data concepts and methodologies.
• Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle).
• Hands-on experience with tools and frameworks, both cloud-based (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow) and local (e.g., Apache NiFi, Talend, Informatica).
• Proficiency in Python programming language for scripting, automation, and data manipulation tasks..
• Familiarity with spatial data sources and geospatial analysis tools (e.g., PostGIS, GeoPandas, ArcGIS) for handling location-based data.
• Strong understanding of GIS (Geographic Information Systems) concepts and spatial data formats (e.g., shapefiles, GeoJSON).
• Familiarity with data warehousing concepts, dimensional modeling, and data integration patterns.
• Knowledge of cloud computing platforms and services, including storage, compute, and networking.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data pipeline issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at various levels of the organization.

• Experience with big data technologies (e.g., Hadoop, Spark, Clickhouse), NoSQL databases (e.g., MongoDB, Cassandra) and traditional RDMS (PostgreSQL)
• Certification in cloud computing (e.g., AWS Certified Developer, Azure Developer Associate).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance principles and regulatory requirements (e.g., GDPR, HIPAA).