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Known brand, Bangalore metro, generalist Data Engineer title and broad toolset increase applicant competition.
Core data engineering skills are transferable, but product/bookings domain and seniority increase role specificity.
Explicit 10–15 year requirement plus Databricks/Spark/cloud/SQL mandates make screening highly strict.
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Translate complex data requirements into scalable technical data solutions in collaboration with stakeholders.
Develop, maintain, and optimize data models, queries, and reporting frameworks for batch and near real-time processing.
Implement data quality checks and enable advanced analytics by collaborating with data scientists to support strategic initiatives.
10-15 years of experience in data engineering or related field.
Proficiency in Python (preferred) or Scala/Java programming.
Experience with modern data tools like Databricks, Spark, or similar technologies and cloud platforms AWS, Azure, or GCP.
Must be located within commutable distance to Bangalore, India; hybrid role requiring 2-3 days onsite per week.
Experienced with strong SQL and data warehousing/data modeling knowledge, capable of delivering robust, production-grade data pipelines.
Skilled collaborator with product, analytics, and data science teams to drive actionable insights from complex datasets.
Familiarity with data quality, monitoring, reliability practices, and advanced topics such as Docker, streaming data, ML pipelines, and DataOps.