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Tier-1 brand, generalist data role, metro location, and broad skillset create high applicant competition.
Core data engineering skills transfer, but banking risk and governance increase domain specificity to medium.
Moderate technical and leadership requirements without explicit years, producing moderately strict shortlisting.
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Build and maintain data architecture pipelines enabling transfer and processing of durable, consistent data.
Design and implement data warehouses and lakes managing data volume, velocity, and security requirements.
Collaborate with data scientists to build and deploy machine learning models.
Experience required: Not explicitly mentioned in the JD (but senior role implies substantial experience).
Proficiency with Snowflake, SQL, DBT, Python, and basic AWS mandatory.
Location: Role based in Pune, India (onsite requirement implied).
Understanding of data security, risk and controls, and governance is implied through responsibilities.
Experienced in leading data engineering projects involving data pipelines, warehouses, and lakes in cloud environments (AWS preferred).
Capable of working on complex data problems and influencing stakeholders with strategic insights.
Familiar with modern data tools beyond basics such as Astronomer, PySpark, CI/CD, and data visualization tools like PowerBI or Tableau.