Platform Data Engineer

1 week ago

Greater Delhi Area, India Insight Global Full time

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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