Qureos Mentor

Digital Rath

We&rsquo;re looking for a skilled Data Engineer with deep Snowflake expertise to help modernize andscale our data platform. If you thrive in a fast-moving environment, can wrangle messy pipelines,and want to build the backbone of a cloud-first data strategy, this role is for you. You&rsquo;ll work acrosslegacy and modern systems to deliver reliable, high-quality data to customers.Responsibilities:<ul><li>Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases</li><li>Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions</li><li>Develop and maintain data integration workflows across both cloud-native and on-premises systems</li><li>Champion best practices in data architecture, modelling, and quality assurance to ensure accuracy and performance</li><li>Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team</li><li>Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform</li><li>Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence</li><li>Write and maintain documentation for data flows, transformations, and system dependencies</li><li>Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture</li><li>Ensure adherence to security, privacy, and compliance standards in all data engineering practices</li></ul>Skills &amp; Qualifications:<ul><li>5+ years of professional experience in data engineering, analytics engineering, or related fields</li><li>Bachelor&rsquo;s degree in computer science, or equivalent field and 2+ years of experience</li><li>Advanced SQL skills, including performance tuning and query optimization</li><li>Expertise in Snowflake, including data warehousing concepts, architecture, and best practices</li><li>Experience with modern data transformation tools (e.g., dbt)</li><li>Experience building and maintaining automated ETL/ELT pipelines, with a focus on performance, scalability, and reliability</li><li>Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and experience with environments that depend on infrastructure-as-code</li><li>Experience writing unit and integration tests for data pipelines</li><li>Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake schemas)</li><li>Experience with legacy, on-premises databases such as Microsoft SQL Server is preferred</li><li>Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools, and data federation tools is a plus</li><li>Experience with SQL</li><li>Server Reporting Services (SSRS) is beneficial</li></ul>Job Type: Contractual / Temporary Contract length: 6 monthsPay: Up to &#8377;225,000.00 per monthApplication Question(s):<ul><li>How many years of experienced do you have as a Data Engineer? </li></ul>Experience:<ul><li>Data Engineering : 6 years (Required)</li><li>Analytics Engineering : 6 years (Required)</li></ul>Work Location: Remote

Data Engineer

Join Digital Rath and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Digital Rath

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Data Engineer