Senior Python Engineer

Top 3 Skills

Python

ETL

Experience within structured and un-structured data

Unstructured data into relational databases

AWS

Requirements:

• You have a Bachelor's Degree in Computer Science (or related field) and have 5+ years of relevant work experience in business intelligence, data engineering, data warehousing, or a similar field.

• You have expert level experience with SQL and Python, with intermediate around Hive, Pig

• You remain active in learning emerging practices and technologies in the BI/DW and data science space.

• You are comfortable and confident in your knowledge of multiple database programming languages and your knowledge of relational and columnar databases.

• You have experience integrating data from multiple data sources and have processed large amounts of unstructured data.

• You have experience with Cloud technologies (AWS preferred), Big Data Components (Apache Spark, Hadoop, Presto, etc.), and Continuous Integration tools is desired, but not required.

Data Engineer Job Responsibilities:

• Provide significant contributions to the growth of our Data infrastructure

• Design, develop, test and deploy business intelligence solutions

• Design and document data structures/models and data flows

• Interact with various business units and technical teams to gather requirements

• Review, optimize and document current ETL processes

• Ensure data quality, completeness, and accuracy

• Collaborate with team members in code reviews, discovering better practices and patterns and continuous improvements