Cloud Data Engineer AI & Analytics

<span><span><b>Job Title:</b> Cloud Data Engineer of AI &amp; Analytics</span></span><br /> <span><span><b>Location:</b> Remote<br /> <b>Type:</b> Contract</span></span><br /> <br /> <br /> <span><span><b>Do you love turning raw data into smart systems that fuel decisions? This role is your next step.</b></span></span><br /> <span><span><b>Why This Role is a Career Move — Not Just a Technical Job</b></span></span><br /> <br /> <span><span>We're building more than pipelines we’re building the future of decision-making.</span></span><br /> <span><span>As a Cloud Data Engineer, you'll play a key role in connecting cloud-scale data flows to real-world business outcomes. This isn't just a job writing ETL it’s a career-making opportunity to lead engineering that powers AI, analytics, and digital transformation.</span></span><br /> <br /> <span><span>You'll architect solutions across platforms like Snowflake, Azure, Databricks, and AWS, working on complex, high-impact data products that matter.</span></span><br /> <br /> <span><span><b>What You’ll Grow Into</b></span></span><br /> <span><span>This role is a launchpad for technical leadership.</span></span><br /> <span><span>You’ll sharpen your skills in CI/CD, DataOps, and test automation, while working alongside architects, analysts, and data scientists on strategic programs. You’ll be encouraged to own your pipelines, improve performance, and introduce automation, AI, or ML-based enhancements.</span></span><br /> <br /> <span><span>Whether you’re aiming for a future in cloud architecture, ML engineering, or platform leadership this is how you get there.</span></span><br /> <br /> <span><span><b>What Makes This Role Different</b></span></span> <ul> <li class="MsoNoSpacing"><span><span>You won’t just move data — you’ll design cloud-native systems that scale.</span></span></li> <li class="MsoNoSpacing"><span><span>You’ll use modern and legacy tools (Fivetran, DBT, Informatica, PySpark, Qlik Replicate) to solve real integration challenges.</span></span></li> <li class="MsoNoSpacing"><span><span>You’ll have direct impact on analytics, forecasting, and AI readiness not just infrastructure.</span></span></li> <li class="MsoNoSpacing"><span><span>You’ll be part of a cross-functional team that values engineering excellence and business impact equally.</span></span></li> </ul> <br /> <span><span><b>You’ll Be a Great Fit If You...</b></span></span> <ul> <li class="MsoNoSpacing"><span><span>Have 3+ years of hands-on experience in cloud data engineering</span></span></li> <li class="MsoNoSpacing"><span><span>Can work in Azure, AWS, GCP, Snowflake, or Databricks (one or more)</span></span></li> <li class="MsoNoSpacing"><span><span>Know your way around Python, PySpark, or Scala</span></span></li> <li class="MsoNoSpacing"><span><span>Have worked with ETL or data integration tools like Fivetran, Talend, Informatica, or DBT</span></span></li> <li class="MsoNoSpacing"><span><span>Enjoy building CI/CD pipelines and automating delivery workflows</span></span></li> <li class="MsoNoSpacing"><span><span>Want to solve real data problems not build yet another pipeline that no one uses</span></span></li> </ul> <br /> <span><span><b>Bonus: Be Part of the Automation &amp; AI Movement</b></span></span><br /> <span><span>You’ll also be tasked with exploring how AI and automation can improve your own workflows from anomaly detection to AI-enhanced quality checks. You won’t just support AI… you’ll engineer the systems that make it possible.</span></span><br /> <br /> <span><span><b>Ready to stop wrangling broken data jobs and start building smart, scalable systems?</b></span></span><br /> <span><span>Let’s talk. Apply now or connect with our team to explore if this role is right for your next big move.</span></span><br />