• Bachelor of Science degree in Computer Science or equivalent

• At least 8 years of postdegree 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. Youll leverage cloudbased infrastructure to implement technology solutions that are scalable resilient and efficient. You will collaborate with Data Engineers Data Analysts DBAs crossfunctional 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.

About Candidate:

You are selfmotivated work independently and have direct experience with all aspects of the software development lifecycle from design to deployment. You have a deep understanding of the full life data lifecycle and the role that highquality data plays across applications machine learning business analytics and reporting. Strong candidates will exhibit solid critical thinking skills the ability to synthesize complex problems and a talent for transforming data to create solutions that add value to a myriad of business requirements.

You have the demonstrated ability to lead and take ownership of assigned technical projects in a fastpaced environment. Excellent written and speaking communication skills are required as we work in a collaborative crossfunctional environment and interact with the full spectrum of business divisions. You demonstrate unsatiated curiosity and outstanding interpersonal soft skills. Ideal candidates have more than just knowledge or skill set as they also have a can do mindset to find solutions.