Data Engineer
4 months ago
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 setup’s 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.
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