Senior Azure Databricks Developer

Job Description
Overall 10+ years of experience as developer in Big data technologies like Databricks/Spark and Hadoop ecosystems
Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns
Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Pyspark and U-SQL Axure Data Lake Analytics. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks
Hands on experience on developing SQL scripts for automation
Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog
Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks
Excellent interpersonal, verbal, and written communication skills
Bachelors degree or equivalent work experience
Responsible for estimating the cluster size, monitoring and troubleshooting of spark databrick cluster
Drive analysis, architecture, design, governance and development of data warehouse, data lake, and business intelligence solutions
Research, synthesize, recommend, and select technical approaches for solving difficult migration, development, and integration problems
Conduct and support workshops, design sessions, and project meetings as needed, playing a key role in client relations
Develop and optimize ETL processes using Databricks and related tools like Apache Spark
Collaborate applications teams/Business users to develop new pipe lines with Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc
Experience working in agile development projects and sprint deliver

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