Junior Data Engineer

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Motivo actual: Descartada: pide 4+ años de experiencia.

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Job ID: 526313 CRH's Americas Materials division is the leading integrated supplier of aggregates, asphalt, ready mixed concrete and paving and construction services in North America. Our operations span North America with over 29,000 employees at close to 1,660 locations in 45 US States and 2 Canadian provinces. Overview The Junior Data Engineer contributes to the design, development, and maintenance of data pipelines and data products that support trusted analytics and business insights. Working under the guidance of senior engineers, this role applies foundational technical skills to build reliable, efficient data solutions aligned with business needs. This position offers hands-on experience across the data engineering lifecycle, with opportunities to grow technical skills through collaboration with cross-functional teams and experienced mentors. Key Responsibilities Data Engineering & Solution Delivery • Develop and maintain data pipelines and data products under the guidance of senior engineers. • Support translation of business and analytics requirements into technical solutions in collaboration with stakeholders. • Apply engineering best practices, including modular design, basic testing, and version control. • Assist in ensuring data quality, lineage, and governance standards across assigned solutions. • Contribute to the adoption of modern cloud-based data platforms and tools (e.g., Snowflake, dbt, Azure ecosystem). Delivery & Execution • Deliver assigned data engineering tasks aligned to project priorities and timelines. • Collaborate with team members to understand tasks, deliverables, and expectations within agile or hybrid delivery models. • Provide regular progress updates and flag blockers or dependencies to senior team members. • Troubleshoot and resolve technical issues impacting data pipelines with appropriate guidance. Change & Release Support • Support structured change management and deployment processes for data solutions. • Assist with release validation and deployment across development and test environments. • Follow established automated deployment pipelines and testing controls. • Ensure compliance with enterprise security, governance, and audit requirements. Collaboration & Stakeholder Engagement • Work with cross-functional teams including MDM, analytics, ERP, and business units under senior guidance. • Collaborate with data engineers, analysts, and product owners to understand and support technical delivery. • Communicate clearly about progress, blockers, and technical concepts with both technical and non-technical team members. Continuous Improvement & Learning • Proactively develop technical skills and knowledge of data engineering tools and practices. • Contribute ideas for improving efficiency and automation in data pipelines and processes. • Participate in team discussions on continuous improvement and engineering best practices. • Stay current with emerging data engineering technologies and share learnings with the team. Qualifications Education • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field. Experience • 2-4 years of experience in data engineering, data warehousing, analytics, or a related technical role. • Hands-on experience developing and supporting data pipelines or data processing workflows. • Experience working within team environments, including academic projects, internships, or professional roles. Technical Skills • Working knowledge of data warehousing concepts, SQL, and basic data modeling. • Familiarity with modern data platforms and tools (e.g., Snowflake, Azure Data Services, dbt). • Basic proficiency in Python for data processing and automation tasks. • Exposure to ETL/ELT concepts and data pipeline development. • Familiarity with version control tools such as Git; exposure to CI/CD pipelines is a plus. • Understanding of data quality concepts and basic testing practices. • Awareness of ERP systems (e.g., SAP S/4HANA) or en

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