Data Engineer

As a Data Engineer at our company, you will play a crucial role in designing, building, and maintaining end-to-end data platforms to support product-performance analytics. Your responsibilities will include: - Engineering robust ETL/ELT pipelines and data models for processing structured and unstructured product and customer data. - Managing data lake migrations and ensuring One-Lake availability for various stakeholders. - Implementing CI/CD for data deployments, ensuring pipeline observability, and maintaining data quality. - Creating dashboards and visual insights for Product, Marketing, and Engineering teams. - Collaborating with cross-functional teams, mentoring junior engineers, and establishing best practices. To excel in this role, you should have: - 3-5 years of experience in data engineering. - Proficiency in PySpark and SQL. - Hands-on experience with Microsoft Fabric and Azure services such as Data Lake, Synapse, Data Factory, and Databricks. - Familiarity with CI/CD practices for data workflows using tools like Azure DevOps or GitHub Actions. - Strong understanding of data modeling, warehousing, and data governance principles. - Excellent communication skills and a focus on delivering measurable outcomes. Nice-to-have qualifications: - Relevant Azure or data certifications (e.g., DP-700). - Exposure to product performance analytics or industrial data domains. If you are looking for a challenging role where you can contribute to building innovative data solutions and drive business impact, we encourage you to apply. Immediate joiners are preferred for this position. As a Data Engineer at our company, you will play a crucial role in designing, building, and maintaining end-to-end data platforms to support product-performance analytics. Your responsibilities will include: - Engineering robust ETL/ELT pipelines and data models for processing structured and unstructured product and customer data. - Managing data lake migrations and ensuring One-Lake availability for various stakeholders. - Implementing CI/CD for data deployments, ensuring pipeline observability, and maintaining data quality. - Creating dashboards and visual insights for Product, Marketing, and Engineering teams. - Collaborating with cross-functional teams, mentoring junior engineers, and establishing best practices. To excel in this role, you should have: - 3-5 years of experience in data engineering. - Proficiency in PySpark and SQL. - Hands-on experience with Microsoft Fabric and Azure services such as Data Lake, Synapse, Data Factory, and Databricks. - Familiarity with CI/CD practices for data workflows using tools like Azure DevOps or GitHub Actions. - Strong understanding of data modeling, warehousing, and data governance principles. - Excellent communication skills and a focus on delivering measurable outcomes. Nice-to-have qualifications: - Relevant Azure or data certifications (e.g., DP-700). - Exposure to product performance analytics or industrial data domains. If you are looking for a challenging role where you can contribute to building innovative data solutions and drive business impact, we encourage you to apply. Immediate joiners are preferred for this position.