Description

You will design and implement scalable data architectures and integration patterns for cloud environments.

Responsibilities

• Design and implement data warehouse architectures and robust data models.
• Develop data integration workflows using ETL and ELT patterns.
• Build and maintain data pipelines using Python, SQL, and PySpark.
• Manage cloud-based data solutions across Azure and AWS environments.
• Create data visualizations and reports using Tableau.

Required Skills

• 12+ years of experience in data architecture roles.
• Expertise with Databricks and PySpark.
• Advanced proficiency in Python and SQL.
• Hands-on experience with Azure Data Factory and Azure Data Lake Gen2 (ADLS Gen2).
• Experience managing Azure Key Vaults and Azure DevOps.
• Deep knowledge of data modeling and data warehouse design.
• Proficiency with Snowflake and AWS services including S3, Redshift, Glue, and Athena.
• Experience with Tableau for reporting.

Preferred Skills

• Familiarity with Big Data technologies and distributed computing frameworks like Hadoop and Spark.

Key Skills

Education

Any Graduate