Job
Description
Job Responsibilities: - Design, construct, and maintain scalable data management systems using Azure Databricks, ensuring they meet end-user expectations. Supervise the upkeep of existing data infrastructure workflows to ensure continuous service delivery. Create data processing pipelines utilizing Databricks Notebooks, Spark SQL, Python and other Databricks tools. Oversee and lead the module through planning, estimation, implementation, monitoring and tracking. Desired Skills and Experience :- Over 8 + years of experience in data engineering, with expertise in Azure Data Bricks, MSSQL, LakeFlow, Python and supporting Azure technology. Design, build, test, and maintain highly scalable data management systems using Azure Databricks. Create data processing pipelines utilizing Databricks Notebooks, Spark SQL. Integrate Azure Databricks with other Azure services like Azure Data Lake Storage, Azure SQL Data Warehouse. Design and implement robust ETL pipelines using ADF and Databricks, ensuring data quality and integrity. Collaborate with data architects to implement effective data models and schemas within the Databricks environment. Develop and optimize PySpark/Python code for data processing tasks. Assist stakeholders with data-related technical issues and support their data infrastructure needs. Develop and maintain documentation for data pipeline architecture, development processes, and data governance. Data Warehousing: In-depth knowledge of data warehousing concepts, architecture, and implementation, including experience with various data warehouse platforms. Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients. Excellent problem-solving skills, with ability to work independently or as part of team. Strong communication and interpersonal skills, with ability to effectively engage with both technical and non-technical stakeholders. Able to work independently without the needs for close supervision and collaboratively as part of crossteam efforts.
