Data Engineer @ Wilmington, DE - Georgia IT Inc.
Wilmington, DE
About the Job
Data Engineer - Remote for now
Wilmington, DE
Contract to Hire
Job Description for Data Transformation:
We are looking for a savvy Data Engineer to join our growing team to build a modernized Data Ecosystem. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, modernizing our data ecosystem with open source technologies as well as optimizing data flow and collection for cross functional teams.
Technical Skills :
Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc.
Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, PySpark, Scala, etc.
Responsibilities for Data Engineer:
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 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 AWS 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.
Wilmington, DE
Contract to Hire
Job Description for Data Transformation:
We are looking for a savvy Data Engineer to join our growing team to build a modernized Data Ecosystem. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, modernizing our data ecosystem with open source technologies as well as optimizing data flow and collection for cross functional teams.
Technical Skills :
Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc.
Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, PySpark, Scala, etc.
Responsibilities for Data Engineer:
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 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 AWS 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.
Source : Georgia IT Inc.
