Jr. Data Engineer

有限会社ＥＣＳテクノ

ECS, a forward-thinking company, welcomes applications for the Jr. Data Engineer position in their virtual office environment. This role is crucial for driving data-driven decision-making processes by developing innovative solutions and ensuring seamless data engineering support. The team is collaborative, innovative, and focused on utilizing advanced technologies to enhance business operations.

In this role you can expect to have the responsibilities:

• Use Python to build and optimize data pipelines and automate data workflows.
• Design RPA solutions to enhance operational efficiency by automating tasks.
• Develop interactive dashboards and reports using PowerBI for data insights.
• Support data engineering by optimizing data flow and constructing data pipelines.
• Conduct data conditioning to ensure data quality for analysis.
• Analyze complex datasets to provide actionable insights and support business decisions.
• Collaborate with cross-functional teams to deliver innovative data solutions.
• Troubleshoot performance issues and optimize data processes.
• Document workflows and data systems for knowledge sharing and compliance.
• Ensure data quality and compliance with governance standards.

This role comes with the following benefits:

• Details on benefits can be found on ECS's career page

This role requires you to have:

• Bachelor's degree
• Minimum of 3 years of experience in relevant fields
• Proficiency in Python, including libraries like Pandas and NumPy
• Experience with RPA tools such as UiPath or Automation Anywhere
• Skill in creating reports and dashboards with PowerBI or Tableau
• Experience in PowerApps development
• Data engineering experience, particularly in ETL processes and data pipelines
• Data conditioning techniques
• Strong data analysis skills using SQL or Excel
• Cloud computing experience with platforms like AWS, Azure, or GCP
• Problem-solving skills and strong attention to detail
• Excellent communication and collaboration abilities

You would benefit from having:

• Experience with databricks or Azure Data Factory