Python Developer with ETL and PostgreSQL Experience

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 strategic resources. CMMI Maturity Level III and ISO 9001 – 2015 certified.

MUST HAVE SKILLS (Most Important)

• 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.

Desired Skills

• 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).