ECS is seeking a
Jr. Data Engineer to work in our
Remote office.
We are seeking a versatile and highly skilled Jr. Data Engineer to join our dynamic team. This role is ideal for an individual with experience in Python development, Robotic Process Automation (RPA), data analysis, data engineering support through building and managing data pipelines, business intelligence (BI) using PowerBI or Tableau, and PowerApps Development. The successful candidate will play a key role in developing solutions, automating data processes, conditioning datasets, supporting data engineering efforts, and providing actionable insights to drive data-driven decision-making within the organization.
Key Responsibilities:- Data Development: Utilize Python to build scalable data pipelines, automate data workflows, and develop data processing scripts for transforming and conditioning datasets.
- RPA Development: Design and implement RPA solutions to automate repetitive and time-consuming tasks, improving operational efficiency.
- Business Intelligence (PowerBi): Design and develop interactive dashboards and reports using PowerBI to provide stakeholders with real and near-real time data insights and visualizations. Implement BI solutions that empower business users to make informed decisions.
- Data Engineering Support: Assist in the design, construction, and optimization of data pipelines, databases, and data models to ensure seamless data flow across systems.
- Building & Managing Data Pipelines: Develop and maintain robust data pipelines to collect, process, and integrate data from various sources. Ensure pipelines are optimized for performance, scalability, and reliability.
- Data Conditioning: Perform data cleansing, validation, transformation, and enrichment to ensure data quality and readiness for analysis and reporting. Manage large datasets and handle missing or inconsistent data.
- Data Analysis: Conduct data analysis to derive actionable insights, create reports, and support business teams with data-driven recommendations. Leverage statistical analysis to produce adhoc reports.
- Collaboration and Client Facing: Work closely with cross-functional teams, including data scientists and engineers, analysts, and business stakeholders to understand requirements and deliver solutions. Provide data driven business decisions, understand customer needs, design innovative solutions to inject efficiency and automation into business processes.
- Troubleshooting & Optimization: Identify and resolve performance issues, optimize data systems and processes for efficiency, and ensure that automated systems and data pipelines are running smoothly.
- Documentation & Reporting: Document development processes, RPA workflows, data pipelines, and analysis results clearly and effectively to support knowledge sharing and compliance.
- Data Quality & Governance: Ensure data is accurate, reliable, and compliant with data governance standards by working with engineering teams to implement proper validation, error-handling, and security practices.
Salary Range: $80,000-$90,000
General Description of Benefits
- Bachelor's degree
- Minimum of 3 years of relevant experience
- Python Development: Proficient in Python for data manipulation, data pipeline development, and scripting. Experience with popular libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization.
- RPA Expertise: Proven experience with RPA tools (e.g., UiPath, Blue Prism, Automation Anywhere, PowerAutomate) to design and implement automation workflows.
- PowerBI or Tableau: Proficient in developing business intelligence reports and dashboards. Including creating data models, visualizations, and interactive features.
- PowerApp Development: Experience in designing and developing PowerApps to create customized, data-driven applications. Deep understanding of PowerApps features, connectors and integration with Microsoft Power Platform.
- Data Engineering: Hands-on experience in data engineering, including building and managing ETL processes, developing data pipelines, and managing data storage solutions (e.g., SQL, NoSQL databases, cloud platforms).
- Data Conditioning: Strong experience in data cleansing, validation, transformation, and enrichment techniques to prepare data for analysis and reporting.
- Data Analysis: Strong analytical skills with experience in using SQL, Excel, or other data visualization tools (e.g., Power BI, Tableau) to analyze and interpret complex data.
- Cloud Computing: Experience working with cloud platforms (AWS, Azure, GCP) for building and managing data pipelines and storage solutions, prior experience with databricks or azure data factory a plus.
- Problem-Solving: Excellent troubleshooting skills with the ability to analyze complex problems, identify root causes, and implement effective solutions.
- Collaboration Skills: Strong communication skills to work effectively with business and technical teams. Ability to translate business requirements into technical solutions.
- Attention to Detail: A keen eye for detail, ensuring accuracy in all aspects of data processing, automation, and reporting.
