We are eShare
eShare is a leading provider of enterprise software solutions for file sharing and content collaboration with external parties using Microsoft 365. We enable organizations to engage their clients, partners and suppliers easily and securely using the productivity tools and workflows users are already familiar with Teams, SharePoint Online,Outlook and OneDrive. Our solutions make customer experience and file-based workflow transformation practical through the easy, secure, and collaborative sharing of essential data with customers, suppliers, and partners.
Joining eShare now and be part of the new journey in the secure data collaboration/transformation of the global remote workforce.
The Role
We are looking for an accomplished Data and Analytics Engineer to join our highly motivated and dedicated team of data engineering and analytics professionals. We are designing and delivering automated data pipelines using data processing frameworks to create workflows that cleanse and prepare data before populating the eShare data warehouse. We also develop data analytic tools and dashboards that inspect application data for evidence of non-compliance with established security controls and automatically alert system owners to mitigate and resolve these issues. We are looking for a self-organized individual with a proactive mindset and the attitude towards automating anything possible in the workflow. Our teams are working in a fast-paced environment with agile methods. We prioritize incremental iteration and continuous improvements over knowing all the details from the start.
Responsibilities
· The successful candidate will be responsible for designing, developing, and maintaining business intelligence solutions, crafting and executing queries upon request for data, and presenting information through reports and visualizations.
· Design, develop, and implement interactive Power BI reports and dashboards to visualize and analyze complex data sets.
· Design, develop, and maintain scalable, robust, and performant data pipelines.
· Maintain and curate the data models and data flows that encompass data ingestion from raw sources up to reports.
· Collaborate with business users and stakeholders to gather and understand reporting requirements.
· Develop and execute data queries and conduct analyses.
· Provide training and support to end-users on report usage and best practices.
· Develop and update technical documentation.
Requirements
· Proven experience as a Data Engineer andBI Developer
· Good knowledge of dimensional and relational modeling
· Understanding of database management systems, ETL (Extract, transform, load) frameworks, and SQL language.
· Familiar with the Azure data ecosystem such as Azure Data Lake, Data Factory, Data Warehouse, Synapse,Fabric
· Experience creating interactive reports and dashboards in Microsoft Power BI using the standard visuals.
· Experience with data transformation, correlation and cleanup using data processing frameworks such as Spark and Flink.
· Familiarity with Python and Spark.
· Experience with backend services software development is a plus.
· Proven abilities to take initiative and be innovative.
· Ability to demonstrate attention to detail and produce high quality, accurate reports from high-level requirements.
· Experience working in Agile environments using Azure boards, Git and CI/CD pipelines.
· Analytical mind with a problem-solving aptitude
· Excellent communication and collaboration skills.
What’s it like to work at eShare:
· Being part of a fast-growing environment that gives employees great opportunities for personal growth, in soft and tech skills, while contributing to the scale-up of the company, towards becoming leader in the field of cyber security and virtual collaboration.
· Competitive full-time salary.
· Top-of-the-line tools and equipment.
· Ongoing training and development.
· Private health insurance.
· Excursion weekends & specialevents.
Equal Opportunity Employer:
· We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.