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Mid-level, generalist data-platform role in Bangalore with broad tech stack increases applicant competition.
Core Spark and data-platform skills transfer across industries, though platform experience is preferred.
Explicit 4+ years plus mandatory Spark, Java, and data platform experience enforces strict filtering.
Design, build, and scale next-generation data platform and data-driven APIs combining Apache Spark and Java microservices.
Own end-to-end delivery of scalable, reliable data pipelines and low-latency platform APIs with focus on performance and observability.
Engage with product and business stakeholders to translate needs into data and platform solutions; ensure operational excellence and mentorship of engineering peers.
4+ years software engineering experience focused on data platforms and/or distributed systems.
Strong hands-on expertise with Apache Spark or Scala or PySpark and programming skills in Java (preferred) / Scala / Python.
Experience with large-scale data pipelines (ETL/ELT), backend REST/microservices APIs, cloud platforms (Azure/AWS/GCP).
Work Experience Required: 4+ years; Notice Period: Not explicitly mentioned in the JD.
Proven ability to design and optimize distributed data processing systems and scalable backend APIs in production environments.
Experience integrating data engineering and platform engineering responsibilities with strong system design and performance tuning skills.
Comfortable operating at the intersection of data and backend services, taking end-to-end ownership from design through production and support.