Job Description :
- Design develop and implement scalable data pipelines using Azure Data Factory to ingest data from various sources into Azure Data Lake Storage and other Azure data services.
- Develop and optimize data transformation processes using Azure Databricks with PySpark / Spark and Python ensuring data quality and efficiency.
- Design and implement data warehousing solutions using Azure Synapse Analytics or Azure SQL Database.
- Write complex SQL queries and stored procedures for data manipulation and analysis.
- Collaborate with data architects data scientists and business stakeholders to understand data requirements and translate them into technical solutions.
- Implement data governance data quality and data security best practices within Azure data environments.
- Monitor troubleshoot and optimize data pipelines and data solutions for performance and reliability.
- Automate deployment and operational tasks using Azure DevOps or similar CI / CD tools.
- Stay updated with the latest Azure data technologies and recommend improvements to existing data infrastructure.
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience : years
Vacancy : 1