Description

Qualifications:

Bachelor of Science degree in Computer Science or equivalent

At least 8 years of post-degree professional experience

At least 5+ years of experience with Teradata , BTEQ

4+ years development experience building and maintaining ETL pipelines

3+ years of experience working with database technologies and data development such as Teradata , BTEQ , Python, PLSQL, etc.

Experience in mentoring junior team members through code reviews and recommend adherence to best practices

Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence

Track record of advancing new technologies to improve data quality and reliability

Continuously improve quality, efficiency, and scalability of data pipelines

Expert skills working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance

Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.)

Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment

Familiar with best practices for data ingestion and data design

Responsibilities:

The Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.

You'll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient.

You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders.

You will architect, design, implement and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions.

Education: Bachelors Degree

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