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- Top-tier professional with ability to make architecture and design decisions and tradeoffs for solution architecture that looks across the applications landscape and adheres to enterprise standards
- Bachelor's degree in Computer Science or related field required
- 3 years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, Okera, Collibra, SNS, SQS
- 3+ years of large-scale digital transformation & AWS Cloud migration hands on experience with multiple technology areas like API, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, AI & ML etc.), API Platform (Apigee), Kafka, AMQ
- 15 years of broad technology experience and knowledge across multiple disciplines such as application development, database SQL/NoSQL, infrastructure platform, security products, ETL products, rule engines, and Business Intelligence (BI) tools
- 10 years of hands-on experience in solution, data, architecture applied to multiple large-scale enterprise systems
- 5 years’ extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), Databases SQL/NoSQL (DB2, Oracle, Sybase, Mongo, Postgres, MySQL), ETL (Informatica, Talend, Sqoop), CDC(Attunity) ,Store procedures, REST API, Integration/EAI technologies like Informatica, BI tools (MicroStrategy/Tableau), Snowflake
- 10 years’ experience with Technologies including Web Service API, Integration/EAI technologies like Informatica, XML, JSON, JDBC, SQL, Java, Python, R
- Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies