Description

You will design, build, and maintain scalable data solutions in cloud environments.

This role is on-site.

Responsibilities

• Design, code, test, document, and maintain high-quality, scalable data pipelines and solutions in cloud environments.
• Ingest and transform data from various sources including APIs, streaming platforms, files, and databases.
• Design and implement Data Warehouses and Data Lakes using platforms like Databricks and Snowflake.
• Implement and manage CI/CD pipelines for continuous integration and deployment workflows.
• Perform data modeling and architecture design while ensuring high standards of data quality.

Required Skills

• 3+ years experience designing and implementing Data Warehouse/Data Lake using Databricks/Snowflake and data architecture.
• 2+ years experience with Databricks, Python, Spark, PySpark, SQL, and Azure Data Factory.
• 1+ years experience with CI/CD tools, cloud-based CI/CD pipelines, GitHub, and NoSQL/relational databases.
• Proficiency in Data Engineering principles.
• Strong command of Python and SQL.
• Experience with Apache Spark and PySpark.
• Knowledge of Data Architecture and Data Modeling.
• Familiarity with CI/CD practices.

Key Skills

Education

Any Graduate