TecQubes Technologies - DataOps Engineer - ETL

<p><p><b>What You'll Work On :</b><br/><br/></p><p>- Design, develop & deploy ETL/ELT pipelines (ADF, Databricks, SQL, Python)<br/><br/></p><p>- Use GitHub & Azure DevOps to enable CI/CD workflows<br/><br/></p><p>- Optimize data quality & transformations using Spark and Big Data platforms<br/><br/></p><p>- Create reusable, scalable data solutions across Lakehouse architecture<br/><br/></p><p>- Document dataflows & processes, act as L3 support for critical issues<br/><br/></p><p>- Collaborate in Agile teams and align deliverables across stakeholders<br/><br/></p><p>- Contribute to Data Engineering OKRs and knowledge sharing across global teams</p><p><b><br/></b></p><p><p><b>You Bring :</b></p><p><br/></p>- Hands-on with ADF, Databricks, Azure DevOps, GitHub, SQL, Python<br/><br/></p><p>- Solid knowledge of Data Warehousing, Lakehouse, Cloud, Semantic Layer, and Data Visualization<br/><br/></p><p>- Experience working in Agile environments<br/><br/></p><p>- Strong logical thinking, communication & collaboration skills<br/><br/></p><p>- Already serving notice period or available within 30 days</p><br/></p> (ref:hirist.tech)