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.