Apex Systems
Data Engineer
The data engineer will design, build, and manage scalable data pipelines and architectures for large-scale data processing, storage, and analysis. The data engineer is expected to provide technical leadership and implement best practices for data engineering, ensuring the data infrastructure meets the needs of the business. The individual will work closely with data analysts and other engineers to ensure the timely and accurate delivery of data solutions. Duties And Responsibilities Create and maintain scalable, reliable, consistent and repeatable systems that support data operations for reporting, analytics, applications, and data science. Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). Use ETL processes in order to maintain, improve, clean, and manipulate data. Profile data to measure quality, integrity, accuracy, and completeness. Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations. Design, build, and automate machine learning data pipeline. Deliver solutions by developing, testing, and implementing code and scripts. Produce reports and uphold data delivery schedules. Manage life cycle of multiple data sources. Work closely with stakeholders on the data demand side (analysts and data scientists). Increase speed to delivery by implementing workload/workflow automation solutions. Perform other duties as assigned. Qualifications Basic/Minimum Qualifications Bachelors degree in an engineering discipline or computer science Minimum three (3) years of Linux/Unix/CentOS system admin experience. Minimum five (5) years of hands-on working experience with RDBMS, SQL, scripting, and coding Required Qualifications Ability to use a wide variety of open-source technologies and cloud services Extensive experience with Apache Airflow Extensive coding/scripting experience using Python, R, shell scripts Extensive experience with SQL, Tableau, ML pipeline techniques, and ETL techniques Extensive background in Linux/Unix/CentOS installation and administration; Windows experience preferred Extensive knowledge in data storage that demonstrates knowledge of when to use a file system, relational database, or NoSQL variant Extensive experience with Spark, and Hadoop/Hive Extensive familiarity with JavaScript API, Rest API or Data Extract APIs Extensive experience receiving, converting, and cleansing big data Extensive experience with visualization or BI tools, such as Tableau Extensive experience with data virtualization concepts, and software (Denodo, Teiid, Jboss) Extensive experience with data workflow/data prep platforms, such as Infomatica, Pentaho, or Talend Ability to identify and resolve end-to-end performance, network, server, and platform issues Effective attention to detail with the ability to effectively prioritize and execute multiple tasks Preferred Qualifications Extensive experience with JavaScript API, Rest API or Data Extract APIs Extensive experience with data workflow/data prep platforms, such as Infomatica, Pentaho, or Talend Expert knowledge of best practices and IT operations in an always-up, always-available service Extensive experience with data virtualization concepts, and software (Denodo, Teiid, JBoss) Extensive experience receiving, converting, and cleansing big data Extensive experience with visualization or BI tools, such as Tableau Extensive experience receiving, converting, and cleansing data Extensive knowledge of best practices and IT operations in an always-up, always-available service Ability to create proof of concept experiments for analytics, machine learning, or visualization tools that include hypothesis, test plans, and outcome analysis EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
The data engineer will design, build, and manage scalable data pipelines and architectures for large-scale data processing, storage, and analysis. The data engineer is expected to provide technical leadership and implement best practices for data engineering, ensuring the data infrastructure meets the needs of the business. The individual will work closely with data analysts and other engineers to ensure the timely and accurate delivery of data solutions. Duties And Responsibilities Create and maintain scalable, reliable, consistent and repeatable systems that support data operations for reporting, analytics, applications, and data science. Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). Use ETL processes in order to maintain, improve, clean, and manipulate data. Profile data to measure quality, integrity, accuracy, and completeness. Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations. Design, build, and automate machine learning data pipeline. Deliver solutions by developing, testing, and implementing code and scripts. Produce reports and uphold data delivery schedules. Manage life cycle of multiple data sources. Work closely with stakeholders on the data demand side (analysts and data scientists). Increase speed to delivery by implementing workload/workflow automation solutions. Perform other duties as assigned. Qualifications Basic/Minimum Qualifications Bachelors degree in an engineering discipline or computer science Minimum three (3) years of Linux/Unix/CentOS system admin experience. Minimum five (5) years of hands-on working experience with RDBMS, SQL, scripting, and coding Required Qualifications Ability to use a wide variety of open-source technologies and cloud services Extensive experience with Apache Airflow Extensive coding/scripting experience using Python, R, shell scripts Extensive experience with SQL, Tableau, ML pipeline techniques, and ETL techniques Extensive background in Linux/Unix/CentOS installation and administration; Windows experience preferred Extensive knowledge in data storage that demonstrates knowledge of when to use a file system, relational database, or NoSQL variant Extensive experience with Spark, and Hadoop/Hive Extensive familiarity with JavaScript API, Rest API or Data Extract APIs Extensive experience receiving, converting, and cleansing big data Extensive experience with visualization or BI tools, such as Tableau Extensive experience with data virtualization concepts, and software (Denodo, Teiid, Jboss) Extensive experience with data workflow/data prep platforms, such as Infomatica, Pentaho, or Talend Ability to identify and resolve end-to-end performance, network, server, and platform issues Effective attention to detail with the ability to effectively prioritize and execute multiple tasks Preferred Qualifications Extensive experience with JavaScript API, Rest API or Data Extract APIs Extensive experience with data workflow/data prep platforms, such as Infomatica, Pentaho, or Talend Expert knowledge of best practices and IT operations in an always-up, always-available service Extensive experience with data virtualization concepts, and software (Denodo, Teiid, JBoss) Extensive experience receiving, converting, and cleansing big data Extensive experience with visualization or BI tools, such as Tableau Extensive experience receiving, converting, and cleansing data Extensive knowledge of best practices and IT operations in an always-up, always-available service Ability to create proof of concept experiments for analytics, machine learning, or visualization tools that include hypothesis, test plans, and outcome analysis EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.