Description

You will build and maintain data infrastructure to support extraction, transformation, and loading processes across various data sources.

Responsibilities

• Assemble large, complex datasets that meet functional and non-functional business requirements.
• Design and implement infrastructure improvements to increase scalability and automate manual processes.
• Develop, maintain, and deliver reusable code for data pipelines and automation frameworks.
• Build analytical tools and dashboards to provide actionable insights into business performance metrics.
• Collaborate with product, design, and executive teams to resolve technical data issues and support infrastructure needs.

Required Skills

• 5+ years of relevant professional experience in Computer Science, IT, Math, Statistics, or a related field.
• Proficiency with Python and SQL.
• Hands-on experience with Big Query, Hadoop, Teradata, Hive, or Apache Spark.
• Strong knowledge of NoSQL technologies and free-form databases.
• Deep understanding of relational database architecture and SQL/PL-SQL development.
• Experience using Tableau or Splunk for data analysis and visualization.
• Ability to use Notebooks for data processing and exploration.

Preferred Skills

• Experience with risk and controls testing automation.

Key Skills

Education

Any Graduate