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Tier-1 employer, generic SDE title, metro location, and mid-level (2–4 yrs) amplify competition.
Data engineering skills are highly transferable across industries.
Explicit 2–4 years requirement but few mandatory tech stack constraints yields medium strictness.
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Design, develop, and stabilize platform components focusing on data ingestion pipelines at scale.
Own full project lifecycle including design, development, testing, documentation, and maintenance.
Collaborate with stakeholders and product management to scope and prioritize features.
B.Tech and/or M.Tech in Computer Science with excellent academic record.
2 to 4 years of hands-on software development experience.
Strong skills in object-oriented programming and software design.
Work Experience Required: 2 to 4 years in software development.
Experienced in developing scalable data pipelines and platform components within SaaS environments.
Strong problem-solving skills with knowledge of computer science fundamentals and software engineering practices.
Familiarity or experience with data engineering and tools like Databricks and Airflow is a plus.