Big Data Cloud Engineer

POSITION SUMMARY:

IPG Global IT s Data Platform and Infrastructure Engineering (DPIE) Team is seeking a skilled Big Data Cloud Engineer with expertise in building, deploying, and operating large-scale Big Data solutions across Public Cloud environments. The ideal candidate will possess hands-on technical, programming, and engineering skills to architect, automate, and optimize Big Data solutions using Databricks, Snowflake, Apache Spark, and/or Amazon EMR. Proficiency in programming and automation with Terraform, Ansible, Bash, and Python is essential.

You will join a talented team of engineers dedicated to delivering state-of-the-art Big Data services and solutions to a diverse group of clients across IPG's multiple business units and agencies.

ESSENTIAL FUNCTIONS:

• Build, manage, maintain, and optimize Big Data deployments in Public Cloud environments using Databricks, Snowflake, and Amazon EMR.
• Deploy and maintain Big Data solutions and Public Cloud resources using Infrastructure as Code tools (e.g., Terraform) on Amazon AWS, Microsoft Azure, and Google GCP.
• Provide data engineering support and services, including Databricks workflows, delta sharing, and notebooks.
• Automate repetitive tasks through hands-on programming with Perl, Bash, and/or Python.
• Optimize query performance and tuning for jobs running on Spark, Impala, and Hive.
• Deliver operational and on-call support, ensuring maximum service availability through monitoring, troubleshooting, and issue resolution.

EDUCATION, SKILLS, AND EXPERIENCE REQUIREMENTS:

• 4+ years of experience in deploying and managing Big Data workloads in Public Cloud environments using Databricks, Snowflake, and Amazon EMR.
• At least 3 years of experience in building and maintaining Public Cloud resources using Ansible and Terraform.
• 3+ years of hands-on scripting expertise in Spark, Perl, Python, or Bash Shell.
• 2+ years of experience in software and code management utilizing Git.
• A strong motivation to learn new technologies, coupled with a solid engineering mindset.
• A quick learner with excellent problem-solving skills, code-writing abilities, and a knack for building automation.
• A collaborative team player, eager to work closely with others to accomplish projects.
• Exceptional verbal and written communication skills.
• Bachelor s degree in a related field or equivalent experience.

What Will Set You Apart:

• Experience in Data Engineering, Data Science, and Artificial Intelligence.
• Proficient knowledge of Linux systems.
• Expertise in administering Hadoop Infrastructure using Cloudera Data Platform.
• Hands-on experience with Database SQL

SALARY RANGE:  

The salary range for this position is $ 100,000.00 to $ 140,000.00. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee s/applicant s background, pertinent experience, and qualifications.

BENEFITS OF JOINING IPG:

One of our primary goals is to support the health and well-being of you and your family. Our compensation plan includes the following benefits, in addition to many others:

• Healthcare Options
  • Medical
  • Dental
  • Vision
  • Prescription
• Dependent and Health Care Flexible Spending Accounts
• 401(k) savings plan with company match
• Flexible based Paid Time Off
• Employee Assistance Program
• Legal Assistance Plan
• Tuition Reimbursement
• Employee Stock Purchase Plan
• Exclusive discounts on cell phones, gyms, and everyday purchases

IPG is an equal opportunity employer and we value diversity inclusion and equity at our company. We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, national origin, gender, sexual orientation, age, gender identity, marital status, citizenship, disability, genetic information or veteran status or any other basis prohibited by applicable federal, state or local law.