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Data Engineer
Chicago, IL
Chicago
IL
60701
Date
: Apr-14-25
2025-04-14
2025-04-19
Data Engineer
Chicago, IL
Apr-14-25
Work Authorization
US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
65$/hr
Duration
:
12
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
CONTRACTOR
Required Skills
:
AWS,
Agile
, Cloud Computing, Python, Data Engineer, SQL, Continuous deployment,
DevOps
, ETL, Kubernetes, Machine learning, Oracle, Powerpoint, Product
Preferred Skills
:
AWS, Python, CI/CD
Domain
:
Work Authorization
US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
65$/hr
Duration
:
12
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
CONTRACTOR
Required Skills
:
AWS,
Agile
, Cloud Computing, Python, Data Engineer, SQL, Continuous deployment,
DevOps
, ETL, Kubernetes, Machine learning, Oracle, Powerpoint, Product
Preferred Skills
:
AWS, Python, CI/CD
Domain
:
Meridiansoft
Ohio City, OH
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Hybrid Role (3-4 days onsite )
In-person Interviews
12+ years
2 Openings
Position : Data Engineer
Location : Chicago, IL
Duration : 9 Months with EXT
Top 5 Skill sets
1.
DevOps
2. AWS Cloud
3. Terraform
4. Python
5 CI/CD pipelines
1. Blue-Green deployments
2. Kubernetes
3. Ansible Playbooks
OVERVIEW/SUMMARY:
The Product Analytics team at United Airlines 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 Uniteds 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
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
Send resumes to &
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