Data Engineer, Big Data (18-months contract)
Summary
Design and maintain scalable data pipelines and analytics solutions using big data tech (Spark, Hadoop, cloud platforms) to deliver insights via BI dashboards and reports.
This is an 18-months contract.
As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions to support business decision-making. You will work closely with business and technical stakeholders to translate data requirements into robust data models, ETL pipelines, and BI dashboards, while ensuring data quality, security, and governance.
Responsibilities
Design and maintain ETL pipelines and data models for large-scale datasets Analyze complex data and deliver insights through BI dashboards and reports Collaborate with stakeholders to translate business requirements into technical solutions Build and maintain CI/CD pipelines for data platforms Ensure data quality, security, and compliance Troubleshoot data issues and optimize pipeline performance
Requirements
Experience with big data technologies (e.g. Hadoop, Spark, Hive) 5+ years of experience in data engineering or related roles Strong SQL expertise; experience with Python and/or Java Solid understanding of data warehousing, ETL design patterns, and data modeling Experience with cloud data platforms (e.g. GCP, BigQuery, AWS, Azure) Familiarity with BI tools (Tableau, Power BI, Looker)
As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions to support business decision-making. You will work closely with business and technical stakeholders to translate data requirements into robust data models, ETL pipelines, and BI dashboards, while ensuring data quality, security, and governance.
Responsibilities
Design and maintain ETL pipelines and data models for large-scale datasets Analyze complex data and deliver insights through BI dashboards and reports Collaborate with stakeholders to translate business requirements into technical solutions Build and maintain CI/CD pipelines for data platforms Ensure data quality, security, and compliance Troubleshoot data issues and optimize pipeline performance
Requirements
Experience with big data technologies (e.g. Hadoop, Spark, Hive) 5+ years of experience in data engineering or related roles Strong SQL expertise; experience with Python and/or Java Solid understanding of data warehousing, ETL design patterns, and data modeling Experience with cloud data platforms (e.g. GCP, BigQuery, AWS, Azure) Familiarity with BI tools (Tableau, Power BI, Looker)