DATA ENGINEER
DATA ENGINEER
Posted on :
09-04-2024
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
09-04-2024
Job Description
- Proven experience as a Data Engineer or similar role with a focus on Azure Data Factory and ETL processes.
- Strong proficiency in Azure Data Factory including designing and orchestrating complex data pipelines.
- Solid understanding of ETL concepts methodologies and best practices.
- Experience with SQL TSQL and scripting languages (e.g. Python PowerShell) for data manipulation and automation.
- Familiarity with cloud platforms (e.g. Azure AWS GCP) and services such as Azure SQL Database Azure Blob Storage Azure Data Lake Storage.
- Experience with data warehousing concepts and technologies (e.g. Azure Synapse Analytics Snowflake).
- Strong analytical and problemsolving skills with keen attention to detail.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
- Selfmotivated and proactive with a passion for continuous learning and professional growth.
Tips: Provide a summary of the role what success in the position looks like and how this role fits into the organization overall.
Responsibilities
Be specific when describing each of the responsibilities. Use genderneutral inclusive language.
Example: Determine and develop user requirements for systems in production to ensure maximum usability
Qualifications
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Example: Excellent verbal and written communication skills
azure synapse analytics,azure,python,azure sql database,etl,t-sql,azure blob storage,sql,data,powershell,azure data factory,azure data lake storage,snowflake
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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