Lead Engineer

• Develop highperformance data processing systems.
• Develop and deploy robust distributed scalable near realtime data processing infrastructure that can support various downstream applications including reporting analytics user intelligence machine learning and decision support.
• Incorporate customer feedback and new asks from customers into ongoing deliverables.
• Accept nothing less than topquality code and think in terms of code reviews unit integration endtoend tests in a fastmoving development environment delivering incremental value daily.
• Track and research emerging trends as well as competitors thereby creating feedback loops for the product team.

• 5 years industry experience in backend development.
• Fluency in Python; you know the language and its quirks not having just written scripts.
• Strong command of SQL.
• Strong understanding of computer science concepts (OOD algorithm design data structures algorithms execution and memory optimization).
• Strong software engineering skills systemlevel thinking and problemsolving ability paired with the love to build and ship robust code.
• Experience developing and publishing APIs using web services.
• Strong communication and collaboration skills to work with stakeholders from different backgrounds.
• Bachelors/Masters in Computer Science.

• Having built a product at a startup.
• Experience in building data infrastructure / systems for data workflow management.
• Experience in fullstack development.
• Experience working in dataheavy applications
• Fluency with Pandas
• Experience using at least some among distributed storage (e.g. S3) serverless architecture (e.g. Lambda) streaming data (e.g. Kafka) and scalable search (e.g. Elasticsearch).
• Experience with big data technologies like mapreduce NoSQL Spark HBase and Hive.
• Experience with data security protocols and data access controls.

python,backend development,sql