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Data Engineer

This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include Python, Java, Scala, Hadoop, ETL tools, cloud technologies (AWS, Azure), and analytics tools (Tableau).
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
960
🗓️ - Date discovered
February 8, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Programming #Strategy #Data Engineering #Data Framework #S3 (Amazon Simple Storage Service) #Scala #Databricks #Scripting #Tableau #Hadoop #Java #Azure #Big Data #Informatica #Azure cloud #MySQL #RDS (Amazon Relational Database Service) #SQL Server #AWS (Amazon Web Services) #Cloud #Azure Analysis Services #EC2 #SQL (Structured Query Language) #Oracle #Snowflake #Spark (Apache Spark) #Aurora #Python #Databases #GitHub #Unix #Agile #API (Application Programming Interface) #Teradata
Role description
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About the job

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

Position : Data Engineer

Mid - Sr level

Experience must include:
• Programming languages such as Python, Java, and Scala
• Big Data Frameworks such as Hadoop, Hive, Spark, and Databricks
• ETL Tools such as Informatica and PLSQL
• Scripting such as Unix, and PowerShell
• Databases, such as Oracle, MYSQL, SQL Server, Teradata, and Snowflake
• Cloud Technologies such as AWS, Azure Cloud, EC2, S3, Azure Blob, API Gateway, Aurora, EC2, RDS, Elastic Cache, and Spark Streaming
• Analytics Tools, such as Tableau and Azure Analysis Services
• Agile Teams
• Source Control tools such as Github and related dev process

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.