
Data Engineer
The ideal candidate should have a passion in data engineering. He/she should have significant amount of work experience with SQL, fluency of at least 1 programming language (Python is preferred), and a good understanding of data models. The person should be familiar with interacting with APIs programmatically. Develop and maintain scalable data pipelines and builds out new API integrations. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (SQL Server, Snowflake, and etc.) using SQL.
Experience with data pipeline and workflow management tools, such as KNIME, Airflow
Intermediate experience in API development with good grasp of RESTful APIs and data streaming
Proficiency in UNIX shell scripting such as Bash, Zsh, etc.
Experience of version control tools such as Git and Github
Preferably have some knowledge about web parsing tools such as Scrapy, Selenium and etc.
Sql
Python
Java
Hadoop
Spark
Snowflake
Time Management Skills
HiveQL
PigQL
Verbal communication
Prioritizing skills
written communication
Strong organizational skills
Problem Solving Skills
Flexibility/Adaptability
Attention to detail and accuracy
Multi tasker
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Advanced Micro Devices, Inc. is an American multinational semiconductor company based in Santa Clara, California that develops computer processors and related technologies for business and consumer markets..

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