Senior Data Engineer

Title: Senior Data Engineer
Location: Remote
12+ Month contract

7+

Yes

A Senior Data Engineer will design and develop highly scalable and extensible data pipelines which enable collection, storage, distribution, modeling, and analysis of large data sets from many channels. This position requires an innovative software engineer who is passionate about data & data quality. The ideal candidate will have strong data warehousing and API integration experience and the ability to develop scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient.

Develop, test, document and support scalable data pipelines

Build out and evolve data integrations including APIs to support continuing increases in data volume and complexity

Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security

Build, implement, and maintain scalable solutions that align to our data governance standards and architectural road maps for data integrations, data storage, reporting, and analytic solutions

Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization

Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work

Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources

Perform data analysis needed to troubleshoot data-related issues and aid in the resolution of data issues

Guide and mentor junior engineers on coding best practices and optimization

Qualifications:

Education: 4-year college degree or equivalent combination of education and experience. Prefer an academic background in Computer Science, Mathematics, Statistics, or related technical field

5 years of relevant work experience in analytics, data engineering, business intelligence or related field

Skilled in object-oriented programming (Python in particular)

Strong Experience in Python, PySpark and SQL

Strong Experience in Databricks

Experience developing integrations across multiple systems and APIs

Experience with or knowledge of Agile software development methodologies

Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)

Experience using SQL queries as well as writing and perfecting SQL queries in a business environment with large-scale, complex datasets

Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs

Excellent problem solving and troubleshooting skills

Process oriented with great documentation skills

Experience designing data schemas and operating SQL/NoSQL database systems is a plus

Experience in Kafka, Flink ,Fivetran and Matillion is nice to have

Experience in Data Science and Machine Learning is nice to have