Data Engineer- Visualization

Data Engineer with Visualization

Job Summary:

We are seeking a skilled Data Engineer with a strong background in data visualization to join our dynamic team. The ideal candidate will play a critical role in designing and implementing robust data pipelines while translating complex datasets into actionable insights for strategic decision-making.

Key Responsibilities:

• Develop and maintain scalable data pipelines using SQL, Hive, and PySpark to support data ingestion and processing.
• Automate ETL workflows to streamline data integration processes and enhance operational efficiency.
• Collaborate with cross-functional teams to gather requirements and ensure data solutions meet business needs.
• Create visually engaging dashboards and reports using Power BI and Tableau to present data insights effectively.
• Implement best practices in data management and governance to ensure data quality and compliance.
• Utilize Databricks and Genie for efficient data processing and orchestration.
• Participate in code reviews and contribute to the ongoing improvement of data engineering processes.

Requirements:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• At least 5 years of experience in data engineering, with a strong understanding of data visualization techniques.
• Proficient in SQL, Hive, and PySpark for data manipulation and analysis.
• Experience with ETL automation tools and methodologies.
• Solid understanding of data architecture concepts and frameworks.
• Hands-on experience with Databricks and Genie for data processing.
• Excellent problem-solving skills and ability to work under tight deadlines in a fast-paced environment.

Preferred Qualifications:

• Experience with cloud platforms and services such as AWS, Azure, or Google Cloud.
• Knowledge of advanced data visualization techniques and tools beyond Power BI and Tableau.
• Familiarity with machine learning concepts and tools.
• Strong communication skills, with the ability to convey complex data-related concepts to non-technical stakeholders.
• Certifications in data engineering or relevant technologies would be a plus.
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