Urgent! Senior Data Engineer (Scala/Spark + AWS) Job Opening In – Now Hiring Publicis Groupe
**Company description**
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers.
We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity.
United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
**Overview**
As a **Senior Data Engineer** , you will be responsible for designing, developing, and maintaining scalable Big Data solutions.
You will work with large datasets, real-time processing frameworks, and cloud-based platforms to ensure clean, reliable, and actionable data for decision-making.
**Responsibilities**
**Your Impact**
+ Design, develop, and maintain large-scale data pipelines using Scala, Apache Spark, and SQL on AWS.
+ Reverse engineer SQL queries and Scala code to understand functionality, validate performance, and ensure maintainability.
+ Clean and prepare data by removing corrupted files, fixing coding errors, and handling data quality issues.
+ Review reports and performance indicators to identify and correct code or pipeline inefficiencies.
+ Create and maintain database designs, data models, and techniques for data mining and segmentation.
+ Identify, analyze, and interpret patterns and trends in complex datasets to support diagnosis, forecasting, and strategic decisions.
+ Implement data processing workflows leveraging AWS services such as EMR, Glue, Kinesis, Lambda, S3, and Redshift.
+ Collaborate with data scientists, analysts, engineers, and business stakeholders to translate requirements into reliable solutions.
+ Automate workflows, monitoring, and alerting processes to improve operational efficiency and reliability.
+ Prepare clear reports for management highlighting trends, patterns, and predictions using relevant data.
+ Ensure data quality, security, and compliance with AWS best practices and industry standards.
**Qualifications**
**Your Skills & Experience**
+ 5+ years of experience in Data Engineering with strong focus on Scala, Apache Spark, and SQL.
+ Previous exposure to streaming processing projects.
+ Proven experience reverse engineering SQL queries and Scala code to optimize performance and understand existing systems.
+ Strong knowledge of database design, data modeling, and data mining techniques.
+ Solid hands-on experience cleaning and preparing data, fixing coding errors, and ensuring high-quality datasets.
+ Experience designing and implementing ETL/data pipelines on AWS (e.g., EMR, Glue, Kinesis, Lambda, S3, Redshift).
+ Proficiency with statistical techniques to analyze datasets and validate insights.
+ Strong understanding of distributed computing, cloud storage, and performance optimization in large-scale systems.
**Set Yourself Apart With**
+ Knowledge of other programming languages like Python, R, Oracle, JavaScript, XML, or ETL frameworks.
+ Familiarity with data visualization tools (Tableau, Qlik).
+ Experience with reporting packages (Business Objects, etc.).
+ Familiarity with containerization and orchestration tools (Docker, Kubernetes) for deploying Big Data workloads.
+ Knowledge of data governance, security, and compliance frameworks.
+ AWS Certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
**Additional information**
**This is a full time 100% Remote contractor agreement running through March 31st 2026, with high possibility of extension.**
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in , United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in , United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 220261 jobs in United States and 0 jobs in . This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Publicis Groupe is currently hiring and seeking a Senior Data Engineer (Scala/Spark + AWS) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer (Scala/Spark + AWS) Jobs .
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Publicis Groupe adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer (Scala/Spark + AWS) Jobs United States varies, but the pay scale is rated "Standard" in . Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Engineer (Scala/Spark + AWS) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Data Engineer (Scala/Spark + AWS), consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Data Engineer (Scala/Spark + AWS) interview at Publicis Groupe, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Publicis Groupe's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Senior Data Engineer (Scala/Spark + AWS) is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!