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Mid-level, common BI/Data skills at a known fintech attract moderate competition.
Core SQL, dbt, Airflow and BI skills are broadly transferable across industries.
Explicit 2–4 years plus mandatory SQL, dbt, Airflow, AWS and BI tooling enforces moderate filtering.
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Design, build, and maintain scalable analytics data pipelines and models using dbt, Airflow, and AWS services.
Develop and manage SQL transformations, reporting, and dashboards using Cognos or Tableau to support decision-making.
Ensure data accuracy, quality, and reliability by monitoring, troubleshooting, and resolving production data issues.
2-4 years of relevant experience in analytics or data engineering workflows.
Strong SQL skills with experience writing and tuning complex queries.
Experience with dbt, Airflow, and AWS services such as S3, EC2, and Redshift.
Work Experience Required: 2-4 years as explicitly mentioned in the JD.
Experienced in partnering with both technical and non-technical stakeholders to translate business needs into data solutions.
Familiar with data modeling, warehousing, and data quality best practices within enterprise BI platforms.
Comfortable working in collaborative, cross-functional teams utilizing modern data tools and cloud environments.