Crescent IT Solutions
Roles and Responsibilities
We are looking for candidates who can analyze data requirements and user stories by gathering relevant information and creating basic documentation. You will collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements and industry best practices. Conduct code reviews, provide technical guidance, and mentor juniors to ensure code quality and adherence to best practices. Participate in training sessions to build your skill set in areas such as data engineering with Python/Java, AWS, open source big data tools (e.g., Hadoop, Spark), data security, and more. Assist in analyzing data requirements and user stories by gathering relevant information and creating basic documentation. Contribute to the design and development of small-scale data processing components and ETL workflows. Perform unit testing and assist in debugging data pipelines under the supervision of senior engineers. Create basic data flow diagrams, technical specifications, and design documents for assigned tasks. Collaborate with other interns and engineers to understand agile development and data lifecycle management.
Required Skills, Tools, and Technologies
Azure Databricks, Azure Data Lake Storage (ADLS), Data Factory, Azure Synapse Analytics, MySQL, Azure SQL, MongoDB, Terraform, Git, Blob Storage, DBX, Python, Scala, Spark, PySpark, Power BI. Application Process
Qualified candidates should send their resumes to: hr@crescentitsolutions.com or drop them off at Crescent IT Solutions Inc., 2454 E Dempster St, Suite 204, Des Plaines, IL 60016. Phone: (708) 667-0871 #J-18808-Ljbffr
We are looking for candidates who can analyze data requirements and user stories by gathering relevant information and creating basic documentation. You will collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements and industry best practices. Conduct code reviews, provide technical guidance, and mentor juniors to ensure code quality and adherence to best practices. Participate in training sessions to build your skill set in areas such as data engineering with Python/Java, AWS, open source big data tools (e.g., Hadoop, Spark), data security, and more. Assist in analyzing data requirements and user stories by gathering relevant information and creating basic documentation. Contribute to the design and development of small-scale data processing components and ETL workflows. Perform unit testing and assist in debugging data pipelines under the supervision of senior engineers. Create basic data flow diagrams, technical specifications, and design documents for assigned tasks. Collaborate with other interns and engineers to understand agile development and data lifecycle management.
Required Skills, Tools, and Technologies
Azure Databricks, Azure Data Lake Storage (ADLS), Data Factory, Azure Synapse Analytics, MySQL, Azure SQL, MongoDB, Terraform, Git, Blob Storage, DBX, Python, Scala, Spark, PySpark, Power BI. Application Process
Qualified candidates should send their resumes to: hr@crescentitsolutions.com or drop them off at Crescent IT Solutions Inc., 2454 E Dempster St, Suite 204, Des Plaines, IL 60016. Phone: (708) 667-0871 #J-18808-Ljbffr