Opening For Data Engineering - Teradata

Job Responsibilities

• Develop, test and deploy Teradata bteq code and Pyspark scripts based on business need for a data process.
• Build data pipelines to ingest and transform the data into our Data platform
• Apply best approaches for large scale data movement, capture data changes and apply incremental data load strategies
• Develop, implement and tune large-scale distributed systems and pipelines that process large volume of data
• Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.).
• Identify gaps in current setups processes against the best practices and drive the implementation of these best practices & methods
• Collaborate with project stakeholders (client) to identify product and technical requirements. Conduct analysis to determine integration needs.

Must have:

• Strong business acumen & demonstrated aptitude for analytics that incite action.
• Hands on coding experience in Oracle / Teradata / SQL Server platform and comfortable coding in advanced SQL.
• Strong verbal and business communication skills.
• 2+ years of experience in creating solutions for clients in an analytics environment.
• Good exposure to DataOps methodologies and understanding of Data Warehousing concepts.
• Bachelor’s degree in a technical field (Computer Science degree preferred not mandatory); Master’s degree is a plus.