OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics useMonitor data jobs and troubleshoot data pipeline issuesMaintain data models, schemas, and documentationPartner with data analysts and stakeholders to understand data needsSupport data quality, reliability, and governance initiativesFollow best practices for version control, testing, and deploymentQualificationsBachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred)Basic understanding of data warehousing conceptsExperience with Git or version control toolsStrong problem-solving and analytical skillsPreferredExposure to cloud platforms (AWS, Azure, or GCP)Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)Understanding of data lakes and modern data stack conceptsExperience working with large or complex datasets