Job Description
A Data Engineer is essential for building and maintaining robust data pipelines, ensuring efficient processing and storage of the data with a highly skilled and expertise in Databricks, Data Warehousing, Tableau, and Power BI. A Data Engineer crucial role is data architecting, developing, and maintaining data infrastructure to support our business intelligence needs.

Responsibilities

• Architect and Develop: Design and develop robust data architecture using Databricks and data warehousing solutions to ensure optimal data processing and storage.
• Dashboard Creation: Utilize Tableau and Power BI to create insightful and visually appealing dashboards for business analysts and stakeholders.
• Data Integration: Implement seamless integration of data from various sources into our data warehouse, ensuring accuracy and efficiency.
• Performance Optimization: Optimize data pipelines and queries to enhance overall system performance and responsiveness.
• Collaboration: Collaborate with cross-functional teams to understand data requirements and provide data engineering expertise for diverse projects.
• Quality Assurance: Implement data quality and validation processes to maintain the integrity of our datasets.
  
  

Qualifications

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Communication: Excellent communication skills to effectively collaborate with team members and present insights to stakeholders.
• Experience: Proven experience as a Data Engineer with a focus on Databricks, Data Warehousing, Tableau, and Power BI, Google Bigquery
• Data source : Proficient in mongo DB and strong query command of db.
• Programming Languages : Advanced proficiency in programming languages such as Python.