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Tier-1 bank brand and Pune location increase competition, but seniority and Snowflake/DBT skills narrow the pool.
Core data engineering skills transfer widely, but banking risk/controls and AVP expectations require domain experience.
Banking controls, AVP leadership expectations and specific Snowflake/DBT/AWS skills make filters stringent.
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Build and maintain data pipelines, data warehouses, and data lakes to ensure accurate, accessible, and secure data.
Design, implement, and optimize data architectures handling appropriate data volumes and velocities with required security measures.
Collaborate with data scientists to build and deploy machine learning models and contribute to operational effectiveness and risk management.
Experience with Snowflake, SQL, DBT, Python, and basic AWS skills.
Role requires work experience relevant to senior AWS data engineering (exact years not explicitly mentioned).
Location requirement: Based in Pune, India.
Experience with data architecture design, pipeline development, and knowledge of data security controls is mandatory.
Able to lead teams or collaborative projects impacting entire business functions with strong decision-making and coaching capabilities.
Experienced in complex data analysis, risk mitigation, and influencing stakeholders across business divisions.
Familiarity with advanced tools and methodologies such as Astronomer, PySpark, CI/CD, and proficiency in data visualization tools like PowerBI or Tableau is advantageous.