Data Engineer
Equifax Inc. (company site, opens in a new tab)3+ yrsTrivandrumHybridDirect career pageEst. 6–12 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, maintain, and troubleshoot moderately complex data pipelines using Airflow to ingest, transform, and aggregate data.
- Develop and optimize data models and data quality tracking processes to ensure data accuracy and support analytical use.
- Analyze and interpret large, complex datasets within an Agile, fast-paced development environment, delivering projects on time and budget.
Minimum Requirements
- 3+ years of hands-on experience in software or data engineering with strong proficiency in Python and SQL.
- 2+ years of experience with enterprise relational databases and cloud warehouses (e.g., PostgreSQL, MySQL, BigQuery).
- Hands-on experience building and orchestrating ETL/ELT pipelines using workflow tools like Apache Airflow and working within Google Cloud Platform (Cloud Storage, BigQuery).
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical field.
Ideal Candidate Profile
- Experienced in managing data pipelines specifically using Apache Airflow and Google Cloud Composer DAGs in GCP environments.
- Skilled in working independently with minimal supervision while maintaining effective communication with team and management.
- Familiar with modern enterprise data platforms such as Snowflake or Databricks and understanding of streaming data frameworks and CI/CD pipelines is a plus.