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Unicorn brand, remote mid-level data engineer role, generalist skills and metro talent pool drive high competition.
Core data engineering skills are transferable, but Databricks/PySpark and pipeline expertise create moderate domain specificity.
Explicit 4–7 years plus PySpark, Databricks, SQL and pipeline experience create stringent shortlisting filters.
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Own the development and maintenance of end-to-end data pipelines using PySpark, SQL, and Databricks for a strategic team.
Set best practices for data modeling and pipeline construction focusing on reliability, efficiency, and AI-readiness.
Collaborate closely with stakeholders to incorporate business logic into central data pipelines and resolve complex pipeline issues.
4+ years of data engineering or related technical experience.
Proficiency with Spark, PySpark, and SQL for working with large-scale datasets.
Bachelor's or Master's degree in Computer Science, STEM, or related technical discipline.
Remote India-based role with required overlap of several US working hours during training and 1-2 weekly US meetings post onboarding.
Experienced in building scalable, high-reliability data pipelines and comfortable with tools like Databricks and Delta Lake.
Able to translate business needs into technical data transformations aligned with organizational goals.
Capable of thriving in a growth-focused, high-ownership environment, with a strong learning orientation and collaborative approach.