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You will be updated with latest job alerts via emailJob Title: Senior Azure Engineer (Azure Platform Operations & Automation)
Experience: 5–7 years
Location: Onsite (Noida)
Reports To: Technical Manager / Architect
Responsibilities:
Manage and troubleshoot ADF and Databricks workflows ensuring triggers linked services parameters and pipelines function correctly end-to-end.
Investigate and resolve complex job failures; debug Spark jobs and analyze notebook execution graphs and logs.
Lead performance optimization for ADF pipelines partitioning strategies and ADLS data formats (e.g. Parquet tuning).
Execute and automate data pipeline deployment using Azure DevOps ARM templates PowerShell scripts and Git repositories.
Govern data lifecycle rules partition retention and enforce consistency across raw/curated zones in ADLS.
Monitor resource consumption (clusters storage pipelines) and advise on cost-saving measures (auto-scaling tiering concurrency).
Prepare RCA for P1/P2 incidents and support change deployment validation rollback strategy and UAT coordination.
Review Power BI refresh bottlenecks support L1 Power BI developer with dataset tuning and refreshing scheduling improvements.
Validate SOPs and support documentation prepared by L1s and drive process improvement via automation or standardization.
Required Skills:
Expert in Azure Data Factory Databricks (PySpark) Azure Data Lake Storage Synapse.
Proficient in Python PySpark SQL/SparkSQL and JSON configurations.
Familiar with Azure DevOps Git for version control and CI/CD automation.
Hands-on with monitoring (Azure Monitor) diagnostics and cost governance.
Strong understanding of data security practices IAM RBAC and audit trail enforcement.
Skills
azure, adf
Full Time