Responsibilities:

• More than 10+ years of technical experience in data migration with design of Big Data systems
• Experience in Data processing in Batch and Real time with design and implementation using Pyspark/Spark Scala.
• Experience in event driven architecture design/solutioning using Kafka. 
• Experience in Big Data technologies including SQL and NoSQL (HIVE, Hadoop, Couchbase DB, PostgreSQL) and Snowflake.
• Experience working in large complex transformation or migration programs from initiation to implementation, preferable in travel & transportation hospitality domain 
• Experience in Data ingestion from on premise, cloud, structured, semi-structured and unstructured data
• Experience in modeling, design and mapping of data from different systems
• Experience in ODS, Data warehouse, staging, data lake and data mart implementation
• Experience in data architecture on AWS and Azure cloud (S3, SNS, SQS, Lambda, Azure data lake, SQL Data warehouse, DynamoDB)  
• 10+ years of Bigdata technologies, handling large amounts of data, hundreds of Terabytes or more
• Experience in legacy technologies Netteza, Oracle, DB2
• Knowledge with data governance and best practices  
• Propose and establish framework for necessary contributions from various development and program initiatives 
• Bachelor's Degree in Computer Science, Computer Engineering, or a related discipline with experience in software design and development
• Provide detailed specifications for proposed solutions
• Advanced programming skills with Python, Java, Scala.
• Advanced understanding of software development and collaboration, including experience with tools such as Git.
• Excellent written and verbal communication skills, comfortable presenting in front of non-technical audiences. 
• Experience is orchestration tools like Airflow, Jenkins
• Experience in Apache Ni-Fi process

 

Preferred:

• Excellent knowledge in hospitality domain in terms of migration
• Cloud Solution Architect Certification, preferable AWS
• Experience designing, architect Big Data solutions on cloud
• Experience in large scale migration from legacy to cloud implementation
• Experience with Spark streaming/batch, Kafka and Snowflake