Create and maintain optimal data pipeline architecture.
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 SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights for Information Asset as well as Information Asset Customers’ 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.
Create data tools for analytics to build and optimize offering into an industry leading solution.
Work with data and analytics experts to strive for greater functionality data systems.

Bachelor’s degree in computer science or information technology, or equivalent work experience.
3+ years as a Data Engineer.
Data engineering certification (e.g. IBM Certified Data Engineer, AWS Certified Data Analytics
Specialty) is a plus.
Must have technical expertise with data models, data mining, and segmentation techniques.
Experience using any of all of a combination of the following software/tools:
Relational SQL and NoSQL databases, including Postgres and Cassandra.
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Data Storage Technologies like Amazon S3, Snowflake/Redshift, Hive, HDFS
Stream-processing systems: Storm, Spark-Streaming, etc.
Object-oriented/object function scripting languages: Python/ pySpark, Java, C++, Scala, etc.
Data warehousing using Oracle/Snowflake.
ETL Technologies like -Apache Spark/AWS Glue/ Databricks, Apache Airflow, Apache Hadoop.
Experience supporting and working with cross-functional teams in a dynamic environment.

This is a remote working position
You will be expected to work out of a home office with high speed internet and phone connection to enable seamless virtual presence.

Data Engineer

Key skills