Job opening

Data Engineer & Visualization

Urgent

New

Senior

Team:

About the job

At BUZZEBEES, we are pioneers in creating innovative CRM and digital engagement solutions that transform how businesses connect with their customers. With a strong focus on AI-driven innovation, we are committed to enhancing our product offerings through cutting-edge technology. As we continue to lead the market in CRM solutions, we are integrating AI to drive smarter, more personalized customer experiences. Join our team and be a part of an exciting journey to revolutionize digital engagement with the power of AI.

We are seeking a highly skilled and motivated Data Engineer and Visualization Specialist to manage and optimize data pipelines, transformation workflows, and visualization platforms for our internal products. This role will focus on leveraging Azure Databricks for data engineering tasks and Apache Superset for data visualization, enabling data-driven decisions across the organization.

Responsibilities

Key Responsibilities:

Data Pipeline Management

Design, develop, and maintain scalable data pipelines on Azure Databricks to support internal product needs.
Optimize data ingestion, processing, and storage workflows for reliability and efficiency.
Monitor pipeline performance and troubleshoot issues to ensure uninterrupted data flow.

2. Data Transformation and Processing

Implement data transformation workflows using Azure Databricks, ensuring data quality, consistency, and usability.
Develop ETL/ELT processes to prepare data for analysis and reporting.
Collaborate with stakeholders to define data transformation requirements for internal product features.

3. Data Visualization and Reporting

Create and maintain interactive dashboards and visualizations on Apache Superset to present key insights and metrics.
Ensure visualizations are user-friendly, dynamic, and aligned with business objectives.
Work with stakeholders to customize dashboards for various internal use cases.

4. Collaboration and Stakeholder Engagement

Partner with data scientists, product managers, and software engineers to integrate data solutions with internal products.
Conduct regular reviews of data needs, reporting requirements, and system enhancements.

5. Performance Monitoring and Optimization

Continuously improve the performance of data pipelines, transformation workflows, and visualizations.
Implement best practices for data governance, security, and compliance.

Qualifications

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

Technical Skills:

Proficient in Azure Databricks, including Spark-based data engineering workflows.
Hands-on experience with SQL, Python, or Scala for data processing.
Knowledge of Apache Superset or other BI tools (e.g., Power BI, Tableau).
Understanding of ETL/ELT frameworks and data pipeline orchestration.
Familiarity with cloud-based data storage and processing solutions.

Experience:

5+ years in data engineering, data visualization, or related roles.
Experience working with large-scale datasets and complex data workflows.

Soft Skills:

Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to manage multiple tasks and prioritize effectively.

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