Technical Skills Required:
ETL Concepts:
Solid understanding of Extract, Transform, Load (ETL) processes
Ability to design, develop, and maintain robust ETL pipelines
Database Fundamentals:
Proficiency in working with relational databases (eg, MySQL, PostgreSQL, Oracle, or MS SQL Server)
Knowledge of database design and optimization techniques
Basic Data Visualization:
Ability to create simple dashboards or reports using visualization tools (eg, Tableau, Power BI, or similar)
Query Optimization:
Expertise in writing efficient, optimized queries to handle large datasets
Testing and Documentation:
Experience in validating data accuracy and integrity through rigorous testing
Ability to document data workflows, processes, and technical specifications clearly

Key Responsibilities:
Data Engineering Tasks:
Design, develop, and implement scalable data pipelines to support business needs.
Ensure data quality and integrity through testing and monitoring.
Optimize ETL processes for performance and reliability.
Database Management:




Manage and maintain databases, ensuring high availability and security.
Troubleshoot database-related issues and optimize performance.
Collaboration:
Work closely with data analysts, data scientists, and other stakeholders to understand and deliver on data requirements.
Provide support for data-related technical issues and propose solutions.
Documentation and Reporting:
Create and maintain comprehensive documentation for data workflows and technical processes.
Develop simple reports or dashboards to visualize key metrics and trends.
Learning and Adapting:
Stay updated with current tools, technologies, and methodologies in data engineering.
Adapt quickly to current challenges and project requirements.

Additional Requirements:
Strong communication skills, both written and verbal.
Analytical mindset with the ability to solve complex data problems.
Quick learner and willingness to adopt new tools

📌 Data Engineer Noida
🏢 Shashwath Solution
📍 Noida