Data Engineer
2 months ago
Must-Have :
- 4+ years of experience in Data Engineering experience on Azure and Databricks
- Strong knowledge of Databricks, Azure Data Factory, Azure Blob, and Azure SQL is required
- Experience Developing and tuning Spark Application and SparkSQL queries-
- Expertise to Implementing Data warehousing Solutions
- Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale
- Expertise in Data pipeline, scheduling and maintenance
- Understanding of Databricks Unity Catalog and Security Practices
- Should be proficient in SQL and know about NoSQL databases
- Good understanding on Delta file format, how to work with it using Apache Spark and the benefits it provides to ETL workloads
- Knowledge in business intelligence tools such as Power BI, Tableau
- Experience building and maintaining cloud native services with Azure Dashboarding, Visualization (Tableau/Power BI)
- Strong Analytical skills working with a large store of Databases and Tables
- Knowledge working with PagerDuty for alerting
- Experience working directly with a customer to identify problems and solve problems
- Excellent Problem Solving Skills
- Excellent Communication Skills
- Ready to work in rotational shifts.
Role & Responsibilities :
- Manage and Maintain Modern Data Pipelines and Data Streams
- Maintain data presentation through data visualization tools (PowerBI/Tableau)
- File Monitoring and Processing Support
- System Level Reports Coordination with the Code deployment team and support
- Maintain Runbooks and other supporting documentation for workloads
- Batch/Report Execution support
- Analyze existing business processes and look for ways to improve through Databricks services
- Interact with stakeholders and leaders to understand business goals and data requirements
Education : Bachelors or Masters (preferably BE/B.Tech) - Computer Science/IT
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