Cloud Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 52 week(s)

Skills

Informatica

Job Details

Job at a Glance

Title: Cloud Data Engineer (ETL Developer)
Location: Columbus, OH (Hybrid – 2–3 days onsite)
Type: Contract

We are seeking a skilled Cloud Data Engineer to lead the design, development, and optimization of scalable data pipelines and ETL workflows on AAAWS. This role involves working across teams to migrate on-premise data solutions to the cloud, enhance system performance, and ensure data integrity for critical enterprise systems. 

Responsibilities

  • Design, develop, and optimize scalable data pipelines and workflows to support data integration and analytics initiatives.

  • Lead the implementation and ongoing operation of assigned cloud data platforms.

  • Manage system performance and ensure system availability through proactive monitoring, tuning, and troubleshooting.

  • Administer access controls, security protocols, and ITSM/ITIL processes to ensure system stability and compliance.

  • Collaborate cross-functionally to gather requirements and deliver solutions aligned with business needs.

  • Oversee tier 2 and 3 support issues, perform routine system maintenance, and resolve escalations.

  • Analyze system logs and performance metrics to drive operational improvements.

  • Support data migration efforts from on-premise to cloud-based platforms.

  • Participate in support rotations and contribute to continuous process improvement.


Required Qualifications

  • Bachelor’s degree in Computer Science or a related technical field.

  • 5+ years of experience in data engineering or ETL development.

  • 2+ years of hands-on experience with ETL and data modeling on AWS cloud platforms.

  • 3+ years of experience with SQL Server.

  • 3+ years of experience with Informatica PowerCenter or similar ETL technologies.

  • Proficiency in writing and optimizing complex SQL queries.

  • Experience managing large-scale data warehouses or data lakes.

  • Strong communication, organizational, and interpersonal skills.

Preferred Qualifications

  • 5+ years of ETL and data modeling experience on AWS.

  • Experience migrating data pipelines from on-premise to cloud (AWS preferred).

  • Expertise in Informatica Cloud (IDMC) or equivalent cloud ETL tools.

  • Familiarity with Snowflake or similar cloud data platforms.

  • AWS certifications (e.g., Data Analytics, Database).

  • Deep knowledge of data pipeline optimization, partitioning strategies, and MPP architecture.

  • Background in Financial Services or related industries.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.