ID
#31482460
Job type
Full Time
Salary
TBD
Source
Paycom Payroll Llc
Date
2022-01-12
Deadline
2022-03-13

Development Data Engineer III

Oklahoma, Oklahoma city, 73116

Full Time

Vacancy expired!

This position will be located within the Development and IT space and work closely with computer scientists, IT and data scientists to build, deploy and optimize data pipelines and integrate data infrastructure for enabling analytics, reporting, and machine learning workloads at scale.

RESPONSIBILITIES

Build, test, and validate robust production-grade data pipelines that can ingest, aggregate, and transform large datasets according to the specifications of the internal teams who will be consuming the data
Build frameworks and custom tooling for data pipeline code development
Deploy data pipelines and data connectors to production environments
Configure connections to source data systems and validates schema definitions with the teams responsible for the source data
Monitor data pipelines and data connectors and troubleshoot issues as the arise
Monitor data lake environment for performance and data integrity
Manage data infrastructure such as Kafka and Kubernetes clusters
Collaborate with IT and database teams to maintain the overall data ecosystem
Assist data science, business intelligence, and other teams in using the data provided by the data pipelines
Mentor junior data engineers
Deploy machine learning models to production environments
Gather requirements and determine scope of new projects
Research and evaluate new technologies and set up proof-of-concept deployments
Test proof-of-concept deployments of new technologies
Collaborate with data governance and compliance teams to ensure data pipelines and data storage environments meet requirements
Serve as on-call for production issues related to data pipelines and other data infrastructure maintained by the data engineering team

MINIMUM BASIC QUALIFICATIONS

Education/Certification:

BS degree in Computer Science or related field

Experience:

5+ years of data engineering work experience
Experience coding in Java or Scala and build tools such as Maven, Gradle, and SBT is required
Experience with SQL databases
Experience working with HDFS or S3 storage environments
Experience with Apache Spark or Databricks and reading and writing Parquet, Avro and JSON
Experience working in a Unix or Linux environment including writing shell scripts
Experience with ETL and ELT processes in data pipelines
Experience with CICD tools and processes

PREFERRED QUALIFICATIONS

Experience:

Experience coding in Python
Experience with NoSQL solutions
Experience with Apache Kafka or Confluent is highly preferred
Experience with data lake query engines such as Presto or Dremio
Experience with Docker and Kubernetes highly preferred
Experience with workflow orchestration tools like Apache Airflow, Control-M, or Arrow highly preferred

Skills and Abilities:

Strong expertise in computer science fundamentals: data structures, performance complexities, algorithms, and implications of computer architecture on software performance such as I/O and memory tuning.
Working knowledge software engineering fundamentals: version control systems such as Git and Github, workflows, ability to write production-ready code.
Knowledge of data architecture and data processing engines such as Spark and Hadoop.
Ability to create SQL queries of moderate complexity.
Knowledge of Java or Scala.
Knowledge of Apache Spark
Knowledge of Python, R, C#, or PHP is helpful.
Knowledge of HDFS and S3 storage environments
Strong trouble-shooting skills.
Knowledge of technical infrastructure.
Strong technical aptitude.
Has strong critical thinking skills and the ability to relate them to the products of Paycom.
Demonstrates excellent verbal and written communication skills.

Paycom is an equal opportunity employer and prohibits discrimination and harassment of any kind. Paycom makes employment decisions on the basis of business needs, job requirements, individual qualifications and merit. Paycom wants to have the best available people in every job. Therefore, Paycom does not permit its employees to harass, discriminate or retaliate against other employees or applicants because of race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status or any other consideration made unlawful by applicable laws. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. The Human Resources Department has overall responsibility for this policy and maintains reporting and monitoring procedures. Any questions or concerns should be referred to the Human Resources Department.

Vacancy expired!

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