





Tier-1 brand, generalist full-stack title, and metro Hyderabad increase applicant competition.
Core full-stack and data tooling skills are transferable, though finance and data compliance add moderate specialization.
Explicit minimum 8 years and specific Python/Angular requirements enforce strict filters.
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Lead hands-on design, development, and delivery of scalable full-stack applications (Python, Angular) focused on data automation tools and AI-assisted development capabilities.
Drive engineering efficiencies, improve data reliability, and accelerate delivery for data engineering workflows impacting hundreds of ETL developers.
Mentor and lead a small development team, coordinate with US-based teams, oversee sprint commitments, and ensure adherence to security and regulatory standards.
Minimum 8 years of hands-on software development experience with tools and applications.
Strong expertise in Python and Angular or React (latest versions); proficient in SQL.
1–2 years of experience leading or mentoring development teams; experience with distributed teams and agile methodologies.
Experience in data engineering or ETL processes preferred; familiarity with cloud platforms (GCP preferred) and CI/CD practices required.
Experienced in building modern data automation and AI-enabled solutions within scaled engineering environments.
Capable of leading technical delivery while collaborating closely across cross-functional and distributed teams.
Strong focus on engineering craftsmanship, operational excellence, and driving process improvements within data tool development.