Platform Data Engineer
2 weeks ago
Key Responsibilities - Administer and optimize Azure Databricks, including clusters, jobs, and user access. - Manage Snowflake environments (warehouses, roles/permissions, performance tuning, cost optimization). - Design, implement, and monitor Azure Data Factory (ADF) pipelines for batch and streaming workloads. - Enable data movement and replication across global environments. - Orchestrate pipelines using ADF, Apache Airflow, and automation frameworks. - Automate processes and reduce manual effort with Python, PySpark, SQL, and PowerShell. - Work with Azure Data Lake Storage (ADLS), Function Apps, and Key Vault for secure and efficient data operations. - Ensure compliance with security, governance, and cost management best practices. - Collaborate with Data Engineering, DNA, and Data Science teams to ensure high availability and reliable data delivery. - Troubleshoot platform issues, implement fixes, and contribute to runbooks and documentation. - Partner with architects and engineers to continuously improve platform scalability, reliability, and efficiency. Required Skills and Experience - 5+ years of experience in data platform engineering/administration. - Strong expertise in Azure Databricks, Snowflake, and Azure Data Factory. - Experience on Azure Synapse, Event Hubs, or other Azure data services. - Hands-on experience with data pipelines, orchestration, and automation. - Proficiency in SQL, Python, PySpark, and scripting (PowerShell/Bash). - Experience with Apache Airflow for scheduling and orchestration. - Strong understanding of Azure services including ADLS, Function Apps, Key Vault, Networking, and Monitoring. - Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform/ARM). - Solid knowledge of data governance, security, and cost optimization practices Soft Skills - Strong problem-solving and analytical skills. - Ability to work independently and in a global, collaborative team environment. - Effective communication skills for technical and non-technical stakeholders. - Proactive and adaptable mindset with focus on continuous improvement. Nice to Have - Experience in DevOps practices for data engineering. - Knowledge of data governance and compliance frameworks (e.G., GDPR, PCI). - Familiarity with agile methodologies (JIRA, Confluence). - Microsoft Azure certifications (e.G., DP-203, AZ-204, AZ-104, AZ-305).
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