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Tier-1 brand, Bangalore metro, mid-level data engineering role with common skills raises competition.
Core data engineering skills are broadly transferable, though payments and DBT/Airflow specifics add moderate bias.
Explicit 5–10 years plus mandatory DBT, Airflow, Cosmos and cloud skills enforce strict filtering.
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Design, build, and optimize scalable data pipelines using DBT, Airflow, Cosmos, and SQL for large-scale datasets.
Collect, preprocess, and analyze payment datasets (credit card, UPI) to extract features and customer behavior patterns.
Collaborate with business stakeholders and teams to translate requirements into data solutions, ensure data quality, and mentor junior engineers.
5-10 years of experience in data engineering or analytics engineering roles.
Strong expertise in DBT, advanced SQL with performance tuning, Apache Airflow, and Cosmos or similar orchestration frameworks.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experience with cloud platforms, primarily AWS Redshift and S3.
Demonstrated ability to lead design and development of complex data pipelines and data models in large-scale environments.
Experience working cross-functionally with BI teams, data analysts, and business stakeholders for data-driven solutions.
Senior data engineering professional comfortable with mentoring and contributing to best practices in data engineering.