Job Information
Randstad US data engineer iii in chicago, Illinois
data engineer iii.
chicago , illinois
posted 5 days ago
job details
summary
$75.05 - $80.05 per hour
contract
bachelor degree
category computer and mathematical occupations
reference1066641
job details
job summary:
The Product Analytics team at our Client is on a transformational journey to unlock the full potential of enterprise data, build a dynamic, diverse, and inclusive culture and develop a modern cloud-based data lake architecture to scale our applications, and drive growth using data and machine learning. Our objective is to enable the enterprise to unleash the potential of data through innovation and agile thinking, and to execute on an effective data strategy to transform business processes, rapidly accelerate time to market and enable insightful decision making.
JOB OVERVIEW AND RESPONSIBILITIES
In this role you will partner with various teams to define and execute data acquisition, storage, transformation, processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth. This role requires expertise in Client's data sources and technology business intuition, and a working knowledge of data transformation and analytical tools.
location: Chicago, Illinois
job type: Contract
salary: $75.05 - 80.05 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
In this role you will partner with various teams to define and execute data acquisition, storage, transformation, processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth. This role requires expertise in Client's data sources and technology business intuition, and a working knowledge of data transformation and analytical tools.
- Support large scale data pipelines in a distributed and scalable environment
- Enable and optimize production AWS environment for data infrastructure and frameworks
- Expert in creating Terraform modules to automate deployments
- Knowledge of Databricks and Datalake technologies
- Partner with development teams and other department leaders/stakeholders to provide cutting edge technical solutions that enable business capabilities
- Participate and lead in design and development of innovative batch and streaming data applications using AWS technologies
- Provide the team technical direction and approach to be undertaken and guide them in resolution of queries/issues
- AWS Certification
- Knowledge: Python, Bash scripting, PySpark, AWS Services (Airflow, Glue, Lambda, others), Terraform, Databricks
- Skills: Thorough troubleshooter, Hands on AWS Technology leader, People person and ability to conclude an undertaking
- Ability: Solve problems under pressure and in constrained scenarios, Leadership, Making right judgement
- Must be fluent in English (written and spoken)
- Coordinate and guide cross-functional projects that involve team members across all areas of the enterprise, vendors, external agencies, and partners
- Ability to manage multiple deliverables both short and long-term in a busy and aggressive environment, while staying flexible to dynamic needs and priority levels
- Manage agile development and delivery by collaborating with project manager, product owner and development leads
Top 5 Skill sets
- DevOps
- AWS Cloud
- Terraform
- Python
5 CI/CD pipelines
Nice to have skills or certifications:
- Blue-Green deployments
- Kubernetes
- Ansible Playbooks
REQUIRED
- Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree)
- 5+ years of experience in data engineering or ETL development role
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- strong analytic skills related to working with structure, semi- structure, and unstructured datasets.
- Experience with Big Query, SQL server, etc.
- Experience with AWS cloud services: Redshift, S3, Athena, etc.
- Experience with SQL and various database interface tools: SSMS, Oracle SQL developer, etc.
- Passionate about solving problems through data and analytics, and creating data products including data models
- strong initiative to take ownership of data-focused projects, get involved in the details of validation and testing, as well as provide a business user perspective to their work
- Ability to communicate complex quantitative concepts in a clear, precise, and actionable manner
- Proven proficiency with Microsoft Excel and PowerPoint
- strong problem-solving skills, using data to tackle problems
- Outstanding writing, communication, and presentation skills
PREFERRED
- Master's degree
- Experience with Quantum Metrics and Akamai
- Experience with languages: Python, R, etc.
- strong experience with continuous integration & delivery using Agile methodologies
- Data engineering experience with transportation/airline industry
- strong problem-solving skills
qualifications:
Experience level: Experienced
Minimum 5 years of experience
Education: Bachelors
skills:
Data Analysis
DevOpsEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.