Data Engineer

Responsibilities:-

• Design and implement scalable data storage solutions using technologies such as relational databases, Python, Spark, SQL databases, and Cloud Data Warehousing.
• Develop, maintain, and support the data pipelines that move data between various systems.
• Work with data scientists and other stakeholders to understand the data requirements and design data models that meet those requirements.
• Develop and implement data security measures to ensure data confidentiality, integrity, and availability.
• Troubleshoot and debug data pipeline issues and provide technical support for data-related issues.
• Collaborate with cross-functional teams to ensure data is accurate, complete, and accessible to stakeholders.
• Stay up-to-date with the latest technologies and industry trends in data engineering.

Requirements:-

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• You must have 6+ years of experience as a Data Engineer.
• Strong experience with SQL, Python, and Data Warehousing technologies - Design &Development (e.g., Redshift, Snowflake, BigQuery).
• Familiarity with NoSQL databases such as MongoDB and Cassandra.
• Knowledge of Data Mart, Data Modelling and Data Analysis.
• Experience with Cloud computing platforms, particularly AWS, Azure, CI/CD and Azure Data Factory.
• Must have Scrum, Safe and Agile knowledge.
• Strong experience with Docker, Kubernetes, DevOps and AI Machine Learning.
• Strong problem-solving and critical thinking skills.
• Excellent communication skills, both written and verbal.