Data Engineer
<div class="content-intro"><p>We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. </p></div><p> </p>
<h3>Role Overview</h3>
<p>We are seeking a Data Engineer to design, build, and maintain the pipelines and data platforms that power company's next-generation maritime applications. You will work closely with BI Developers, Data Architects, and Product teams to ensure data is collected, transformed, and delivered in a secure, scalable, and efficient manner using Microsoft and Azure technologies. </p>
<h3>Key Responsibilities</h3>
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<div class="ewa-rteLine">• Design, develop, and maintain data pipelines and ETL/ELT processes using Azure Data Factory, Synapse Pipelines, or Databricks.</div>
<div class="ewa-rteLine">• Build and optimize data lake and data warehouse architectures on the Microsoft Azure platform.</div>
<div class="ewa-rteLine">• Ensure data quality, reliability, and consistency across all systems through validation, monitoring, and governance practices.</div>
<div class="ewa-rteLine">• Collaborate with BI Developers and Analysts to deliver high-performance data models for reporting and analytics.</div>
<div class="ewa-rteLine">• Work with application and integration teams to ingest data from ERP, IoT, APIs, and external sources into the Azure Data Platform.</div>
<div class="ewa-rteLine">• Implement data security and compliance controls, including identity, access management, and data masking, aligned with maritime regulations.</div>
<div class="ewa-rteLine">• Optimize pipeline performance and manage cost-efficiency across Azure resources.</div>
<div class="ewa-rteLine">• Contribute to the automation of deployments using CI/CD, version control, and Infrastructure-as-Code (IaC).</div>
<div class="ewa-rteLine">• Stay updated on Microsoft Azure data ecosystem advancements and propose improvements to company's data architecture.</div>
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<h3>Skills and Qualifications</h3>
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<div class="ewa-rteLine">• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).</div>
<div class="ewa-rteLine">• 3–5 years of professional experience as a Data Engineer or in a related role.</div>
<div class="ewa-rteLine">• Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.</div>
<div class="ewa-rteLine">• Strong proficiency in SQL and experience with Azure SQL Database or SQL Server.</div>
<div class="ewa-rteLine">• Experience with Databricks (PySpark, SparkSQL) or equivalent data processing frameworks.</div>
<div class="ewa-rteLine">• Familiarity with data modeling, dimensional design, and data warehouse best practices.</div>
<div class="ewa-rteLine">• Understanding of Azure DevOps, Git, and CI/CD for data pipeline deployment.</div>
<div class="ewa-rteLine">• Knowledge of Python, T-SQL, or PowerShell for scripting and automation.</div>
<div class="ewa-rteLine">• Familiarity with data governance, lineage, and cataloging tools (e.g., Azure Purview).</div>
<div class="ewa-rteLine">• Experience integrating multiple data sources, including APIs, IoT, ERP, or legacy systems.</div>
<div class="ewa-rteLine">• Nice-to-have: exposure to streaming data technologies (e.g., Azure Event Hubs, Kafka) and maritime IoT datasets.</div>
<div class="ewa-rteLine">• Strong analytical, problem-solving, and collaboration skills.</div>
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<p> </p><div class="content-conclusion"><p>To see more roles, <a href="https://amdaris.com/jobs" target="_blank">click here</a>.</p></div>
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