Analytics Architect - Analytics & IT
Responsibilities :
- Lead cross-team of Application Engineers, Data Scientists, Computational Linguists to deliver high quality features against tight timeline while promoting collaborative environment
- Educate the team on design principles and architectural choices made
- Provide solid software/component level designs supporting technical requirements
- Own strategy and technical roadmap of product components and services
Skills Required :
Key Skills :
- Python, Flask, Spark, Airflow, Hadoop, Web Services, MongoDB, Redis
- 10+ years of IT experience with at least 3+ years in architect role
- Strong coding skills with 5+ years of experience in modern languages such as Python, Go
- Well versed with current trends and design patterns for developing systems and services which work seamlessly in private, public and hybrid clouds
- Proven experience in building B2B products preferably Analytics products which are robust, high performant and intelligent
- Have experience in Distributed Systems, High-Performance computing, UI Engineering, Information Visualisation, Machine Learning etc.
- Strong problem-solving skills, algorithmic thinking and a strong foundation in how systems work
- Deep understanding on microservices design patterns, service registry and discovery, externalization of configurations
Must have worked on the following skills :
- Big data - Spark, Databricks, Hadoop, Kafka, Hive, Presto, HDFS etc.
- Data pipeline - Airflow, Azkaban
- API gateway frameworks - Kong, MuleSoft, Apigee etc
- NoSQL stores - MongoDB, Elasticsearch, Cassandra, Redis or equivalent
- RDBMS - Oracle, PostgreSQL, MySQL
- Data warehouse - Redshift, Azure SQL DW, Snowflake, Google Big Query
- Security - OAuth2, OpenID, SAML, Kerberos, Apache Ranger
- DevOps - Docker, Kubernetes
- Knowledge in Machine Learning, Deep Learning, NLP tools and frameworks
- Knowledge in python libraries like Pandas, Numpy, Scikit, TensorFlow, Keras, NLTK, Spacy
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