Description

You will design, implement, and maintain ETL/ELT processes to facilitate data integration, migration, and transformation.

Responsibilities

• Design and develop ETL/ELT processes to extract, transform, and load data into target databases and data warehouses.
• Implement data integration solutions using cloud-based platforms and local solutions.
• Optimize workflows for performance, scalability, and reliability based on data volume and complexity.
• Ensure data quality and integrity through validation and error handling mechanisms.
• Monitor jobs, troubleshoot pipeline issues, and perform debugging and performance tuning.
• Document processes, data mappings, and system configurations.

Required Skills

• 5+ years of experience as an ETL Developer or in a similar data-focused role.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficiency in Python for scripting, automation, and data manipulation.
• Strong SQL skills and experience with relational databases including MySQL, PostgreSQL, SQL Server, and Oracle.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Hands-on experience with tools like Apache NiFi, Talend, or Informatica.
• Knowledge of dbt (data build tool) and data warehousing concepts.
• Familiarity with spatial data sources, GIS concepts, and geospatial tools like PostGIS or GeoPandas.
• Understanding of dimensional modeling and data integration patterns.

Preferred Skills

• Experience with big data technologies such as Hadoop, Spark, or Clickhouse.
• Experience with NoSQL databases like MongoDB or Cassandra.
• Knowledge of version control systems like Git and CI/CD pipelines.

Key Skills

Education

Bachelor's