Description

You will design, develop, and maintain logical and physical data models to support analytics and business processes.

Responsibilities

• Translate complex business requirements into scalable data architectures using Star Schema and Data Vault 2.0.
• Utilize SQL and Big Data variants for data transformation and analysis.
• Develop and optimize data processing pipelines using Python and Spark.
• Collaborate with data engineers, analysts, and business stakeholders on data representation.
• Implement data governance, quality standards, and best practices in data modelling.

Required Skills

• 8+ years of experience in Data Modelling and Data Engineering roles.
• Expertise in SQL (including HiveQL, Snowflake, Redshift SQL).
• Hands-on experience with Python and Spark (PySpark, Spark SQL).
• Strong knowledge of Data Vault 2.0 and Star Schema implementation.
• Experience with Big Data ecosystems, including Hadoop (HDFS, Hive, Impala).
• Familiarity with cloud data warehouses like Snowflake and Redshift.
• Proficiency with UNIX command-line tools for data processing.

Key Skills

Education

Any Graduate