<p><p><b>Databricks Developer :</b><br/><br/>We are seeking a Databricks Developer to enhance our data engineering team.
This role focuses on building scalable data pipelines, optimizing performance, and enabling analytics innovation.<br/><br/><b>Responsibilities :</b><br/><br/>- Develop and optimize Spark pipelines using Databricks and Delta Lake.<br/><br/></p><p>- Write production-grade PySpark/Scala code for ETL and data transformation.<br/><br/></p><p>- Integrate structured and unstructured data across Azure and AWS cloud platforms.<br/><br/></p><p>- Implement Delta Live Tables, Unity Catalog, and CI/CD workflows.<br/><br/></p><p>- Collaborate with data scientists and stakeholders to deliver high-quality datasets.<br/><br/></p><p>- Ensure data governance, security, and lifecycle compliance.<br/><br/></p><p>- Mentor junior engineers and contribute to architectural decisions.<br/><br/><b>Qualifications :</b><br/><br/>- 5-7 years of experience in Big Data development.<br/><br/></p><p>- Strong hands-on experience with Databricks, PySpark, SQL, and cloud tools.<br/><br/></p><p>- Familiarity with Azure Data Factory, Synapse, or AWS Glue/Redshift.<br/><br/></p><p>- Knowledge of GitHub Actions, Azure DevOps, and Agile delivery.<br/><br/></p><p>- Bonus: Experience with Airflow, Kafka, ML workflows, and relevant certifications.</p><br/></p> (ref:hirist.tech)