Data Engineer

Ab Ovo - Dallas, TX

Full-time

Dallas, TX

Professional, Scientific, and Technical Services

About the position

As a Data Engineer, you will play a crucial role in creating and maintaining optimal data pipeline architecture for data-intensive applications. Your primary responsibility will be to assemble large, complex data sets that meet both functional and non-functional business requirements. You will identify, design, and implement internal process improvements, which include automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability. In this position, you will build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, utilizing tools such as Azure SQL, Cosmo DB, Databricks, and other legacy databases. You will also be responsible for building analytics dashboards and visualizations that provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Collaboration is key in this role, as you will work closely with stakeholders, including executives, product teams, data teams, and design teams, to assist with data-related technical issues and support their data infrastructure needs. Additionally, you will ensure that our data remains separated and secure across national boundaries through multiple data centers and Azure regions. You will create data tools for analytics and data science team members, assisting them in building and optimizing our product into an innovative industry leader. Your efforts will contribute to striving for greater functionality in our data systems alongside data and analytics experts.

Responsibilities

• Create and maintain optimal data pipeline architecture for data intensive applications.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
• Build analytics Dashboard/Visualizations utilizing the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

• Strong python programming skills, expert level on using Python to process Big Data.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Extensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc, experience on Tableau, Power BI or Looker tools.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Familiar with Deployment tool like Docker and building CI/CD pipelines.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• 8+ years experience in software development, Data engineering, and a Bachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master's degree is preferred.