What are the responsibilities and job description for the Azure DevOps Engineer position at Acadia Technologies, Inc.?
Job Details
Programming and Scripting:
- Python: Used for data manipulation, scripting, and building data pipelines.
- SQL: Essential for querying and managing data in databases.
- Scala: Often used with Apache Spark for large-scale data processing.
- R: Useful for statistical analysis and machine learning tasks.
Data Warehousing and Databases:
- Relational Databases: Experience with MySQL, PostgreSQL, and Azure SQL Database.
- NoSQL Databases: Understanding of NoSQL databases like Azure Cosmos DB.
- Data Lake Storage: Familiarity with Azure Data Lake Storage Gen2.
- Azure Synapse Analytics: Knowledge of this service for building and managing data warehouses.
- Data Modeling: Understanding data modeling techniques to design efficient storage solutions.
Data Processing and Pipelines:
- ETL (Extract, Transform, Load) Processes:Expertise in designing and implementing ETL pipelines using Azure Data Factory.
- Big Data Technologies:Knowledge of Hadoop, Spark, and Azure Databricks for processing large datasets.
- Data Pipeline Development:Ability to build and manage data pipelines for data ingestion, transformation, and storage.
Cloud Platform and Azure Specifics:
- Azure Fundamentals: A solid understanding of Azure services and their functionalities.
- Data Security and Compliance: Knowledge of data security best practices and compliance regulations.
- DevOps and Automation: Familiarity with DevOps practices and automation tools for streamlining data workflows.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60,000
