Big Data Engineer - Entry Level

Equifax is searching for creative, driven, and high-energy Software Engineers to join our team. We offer the chance to work on meaningful projects with leading-edge technology, collaborating alongside talented engineers. If you're a forward-thinking, committed, and enthusiastic software engineer with a passion for data and modern development practices, you'll thrive in this role.

What you’ll do

• Support critical enterprise systems, including data applications, financial platforms, and core business data.

• Design and build efficient data pipelines for seamless integration of new data sources.

• Manage the full data lifecycle, from extraction and cleansing to ingestion.

• Contribute to strategic technology planning, translating business needs into actionable technical solutions.

• Apply strong software engineering fundamentals, providing valuable feedback on release processes, code, and design reviews.

• Rapidly learn and adapt new technologies, fostering a collaborative and knowledge-sharing environment.

• Implement modern development practices, such as serverless computing, microservices, CI/CD, and infrastructure-as-code.

What experience you need  

• Bachelor's degree in Computer Science, Systems Engineering or related field.

• 6 months to 1 year Data Engineering Fundamentals: Hands-on experience with programming languages like Python, Java, or Scala, coupled with strong proficiency in SQL.

• Data Pipeline Development: Exposure to or direct involvement in building and managing data pipelines.

• ETL Processes: Understanding and practical application of Extract, Transform, and Load (ETL) procedures.

• Big Data Technologies: Familiarity with or project experience using Big Data tools such as Hadoop, Spark, Beam, Hive, Airflow, or similar distributed processing frameworks.

• Cloud Platforms: Exposure to or hands-on experience with major cloud technologies, specifically GCP or AWS.

What could set you apart

• GCP Data Engineering Experience: Familiarity with or direct experience using Google Cloud Platform (GCP) data technologies like BigQuery, DataProc, Dataflow, and Composer.

• Data Security: Experience implementing encryption mechanisms for sensitive data, both in transit and at rest.

• Diverse Data Handling: Proficiency in working with various data sources and structures, including APIs, databases, JSON, CSV, XML, and text files.

• Relational Databases: Knowledge of relational databases such as Oracle, PostgreSQL, SQL Server, or MySQL.

• Version Control: Experience with source code control management systems like SVN/Git and GitHub.

• Atlassian Tooling: Familiarity with Atlassian tools like JIRA, Confluence, and GitHub.

• Engineering Design Principles: Foundational knowledge of design patterns, the software engineering development lifecycle, and an awareness of DevOps, SecOps, and FinOps practices.

Primary Location:

CRI-Sabana

Function:

Function - Tech Dev and Client Services

Schedule:

Full time