Description

You will build and maintain scalable data pipelines and analytics solutions to support product measurements and production flows.

This role is on-site.

Responsibilities

• Develop, maintain, and improve ETL and ELT pipelines for structured and unstructured data using batch and real-time processing.
• Translate business logic into scalable data solutions by ingesting, transforming, and cleansing data from DBMS, APIs, and streaming systems.
• Architect and implement multi-layered SQL and Python processes, including data transformation management in Snowflake and BigQuery.
• Build and enhance BI solutions and STAR schema data warehouses to ensure high data quality and performance.
• Test data infrastructure for reliability and participate in integration, systems, and user acceptance testing.

Required Skills

• Proficiency in Python, Java, NodeJS, C#, C++, SQL, Scala, and NoSQL.
• Experience with data transformation processes in Snowflake and BigQuery.
• Ability to manage and debug ETL/ELT processes from systems like Siebel, PeopleSoft, and NetSuite.
• Strong database skills including writing complex views and using freeform SQL.
• Experience with Hadoop environments and Big Data infrastructure.
• Knowledge of HTML and CSS.
• Ability to draft architectural diagrams and interface specifications.

Preferred Skills

• ANY GRADUATE degree.
• 1 year of experience in data engineering roles.

Key Skills

Education

ANY GRADUATE