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Tier-1 brand, generic mid-level title, metro location, and broad data toolset increase candidate competition.
Core data engineering skills are transferable across industries though financial domain knowledge is beneficial.
Moderate technical filters (data platform tools and secure coding) but no explicit years requirement.
Design, develop, and maintain scalable, secure software solutions, including applications, services, APIs, and data processing components.
Collaborate cross-functionally with product managers, engineers, data scientists, and other stakeholders to define requirements, devise strategies, and ensure integration and alignment with business objectives.
Lead or support teams in delivering high-quality software adhering to secure coding practices and industry standards, while promoting technical excellence and continuous improvement.
Work Experience Required: Not explicitly mentioned in the JD.
Proficient in programming languages such as Python, Java, C#, SQL, or Scala.
Familiarity with tools/platforms like Git, CI/CD pipelines, Apache Spark, Kafka, Airflow, and cloud environments like AWS, Azure, or GCP.
Role location: Pune office.
Experienced in building and maintaining scalable, secure software and data solutions in a complex business environment.
Capable of applying AI, machine learning, and automation technologies to software development and integration.
Able to lead or supervise teams, drive adherence to risk and compliance standards, and collaborate across multiple functions and stakeholders.