Data Engineer

Upward Talent • Montvale, NJ, US • 3w ago

Location : Hybrid in Orlando, FL; Denver, CO; Montvale, NJ; or Atlanta, GA (2 days on-site per week) - need candidates local to any of these locations only
Duration : 4 months
Client : Consulting firm Big 4

Interview process : Two rounds interview 1st video and 2nd onsite - Or they might skip video and do onsite interview - again onsite interview on any of these locations

Need dob ( mm/dd)
need ssn ( last 4 digits)
no viop or google voice numbers
need linkedin

We are seeking a Data Engineer to support and enhance our internal data ecosystem. The ideal candidate will be responsible for integrating data across multiple processes and systems within an Azure Cloud environment.
Key Responsibilities:

Develop and maintain data integration pipelines within Azure
Connect and manage large datasets across various systems
Collaborate with cross-functional teams to support internal analytics needs

Required Experience:
***Hands on experience. They have interviewed people in the past that had the right stuff on their resume, but didnt have actual hands on experience

Azure Fabric
- Experience creating notebooks using Python
Synapse Analytics
- Proficiency with PySpark for data processing
Azure Cloud environment knowledge

Preferred Experience:

Generative AI (Gen AI)
- Experience working with large datasets in Gen AI models
Azure Document Intelligence If no Gen AI experience, familiarity with Azure Document Intelligence is acceptable

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend.
Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle).
Familiarity with cloud platforms and services (e.g., AWS, Azure, or GCP).
Knowledge of data modeling and database design principles.
Strong analytical and problem-solving skills.
Effective communication and collaboration skills.

Required Experience: