InTulsa Initiative
Data Engineer InTulsa Initiative • Tulsa, Oklahoma
Overview We are looking to hire a Data Engineer to join our data team. You will take responsibility for ensuring our core data product is top-notch, managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data engineer, and a deep understanding of the popular data analysis tools and databases.
Responsibilities
Build datasets from disparate data points with SQL-based technologies
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional/non-functional business requirements
Help develop reports and analysis
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
Design data models (relational and unstructured)
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems
Generating reports from single or multiple systems
Help build-out/grow data platform
Write server-side processes for handling data acquisition, storage, and processing
Who We’re Looking For We’re looking for an engineer who models our core values:
Demonstrable experience designing and building data processes
Comfortable with independence and autonomy
Excellent communication skills. Candidates should be comfortable explaining their decisions as well as actively listening to input from their teammates
Attention to detail and able to resolve ambiguity
Respectful of teammates
Not intimidated by lack of present knowledge but has confidence in ability to learn, i.e. you live to grow not the other way around
Takes pride in their work and derives joy from the value it provides
Enjoys thinking differently and solving problems in creative ways
Qualifications A successful candidate will have the following competencies:
Strong SQL skills
Postgres (or similar database, we use Redshift)
Demonstrated experience in Python
Data pipelines and ETL processes
Be comfortable working with structured and unstructured data
Basic programming knowledge
Bonus Qualifications
Amazon Redshift Database
Apache Flink, Apache Spark, Hadoop, or similar data processing framework
Apache Kafka
NoSQL methodologies
Scripting (bash, Python)
Linux (or other *nix environment)
#J-18808-Ljbffr
Overview We are looking to hire a Data Engineer to join our data team. You will take responsibility for ensuring our core data product is top-notch, managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data engineer, and a deep understanding of the popular data analysis tools and databases.
Responsibilities
Build datasets from disparate data points with SQL-based technologies
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional/non-functional business requirements
Help develop reports and analysis
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
Design data models (relational and unstructured)
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems
Generating reports from single or multiple systems
Help build-out/grow data platform
Write server-side processes for handling data acquisition, storage, and processing
Who We’re Looking For We’re looking for an engineer who models our core values:
Demonstrable experience designing and building data processes
Comfortable with independence and autonomy
Excellent communication skills. Candidates should be comfortable explaining their decisions as well as actively listening to input from their teammates
Attention to detail and able to resolve ambiguity
Respectful of teammates
Not intimidated by lack of present knowledge but has confidence in ability to learn, i.e. you live to grow not the other way around
Takes pride in their work and derives joy from the value it provides
Enjoys thinking differently and solving problems in creative ways
Qualifications A successful candidate will have the following competencies:
Strong SQL skills
Postgres (or similar database, we use Redshift)
Demonstrated experience in Python
Data pipelines and ETL processes
Be comfortable working with structured and unstructured data
Basic programming knowledge
Bonus Qualifications
Amazon Redshift Database
Apache Flink, Apache Spark, Hadoop, or similar data processing framework
Apache Kafka
NoSQL methodologies
Scripting (bash, Python)
Linux (or other *nix environment)
#J-18808-Ljbffr