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Popular mid-level data role, metro Bengaluru location, broad required stack, and mid-level experience increase competition.
Core data engineering skills are broadly transferable, though trading/finance experience is a preferred advantage.
Explicit minimum experience and multiple mandatory technologies (Snowflake, Kafka, Python) make filters stringent.
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Design, build, and maintain scalable, sustainable data infrastructure, pipelines, and systems for efficient data processing and accessibility.
Develop complex data products and engineering frameworks using advanced cloud technologies to support analytics initiatives and streaming/batch workloads.
Collaborate with cross-functional teams to gather requirements and ensure data solutions meet business and technical needs, including automated deployment and data modeling.
Minimum 4 years relevant work experience, typically 5+ years.
Strong expertise in data platform design on Snowflake with ELT for batch and real-time workloads.
Advanced Python engineering skills with knowledge of .NET services; deep SQL and Snowflake architecture proficiency; experience with Oracle, SQL Server, PostgreSQL.
Experience designing and operating batch and real-time pipelines using Apache Kafka and Apache Pulsar; knowledge of data security, performance optimization, and data quality monitoring.
Experienced in building production-grade data platforms and pipelines optimized for performance and cost, with a focus on reliability and governance.
Comfortable working in trading or finance domain with familiarity in tools like MS Power BI and Tableau.
Capable of enabling GenAI use cases through high-quality, structured and unstructured data pipelines integrated with technologies such as OpenAI.