3+ years of relevant technology architecture consulting or industry experience to include experience in Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
At least 1 year hands-on on working experience with Big Data technologies; MapReduce, Pig, Hive, HBase, Sqoop, Spark, Flume, YARN, Kafka, Storm etc.
1+ years of hands on experience with data lake implementations, core modernization and data ingestion.
1 or more years of hands on experience designing and implementing data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters.
1 or more years of hands on experience with data integration products like Informatica Power Center Big Data Edition (BDE), IBM BigInsights, Talend etc.
Willingness for weekly client-based travel, up to 80-100% (Monday — Thursday/Friday)
Bachelor’s Degree or equivalent professional experience
Experience designing and implementing reporting and visualization for unstructured and structured data sets
Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies like AWS EC2, AWS Elastic Map Reduce and Microsoft Azure
Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
Knowledge of data, master data and metadata related standards, processes and technology
Experience working with multi-Terabyte data sets
Experience with Data Integration on traditional and Hadoop environments
Ability to work independently, manage small engagements or parts of large engagements.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
Eagerness to mentor junior staff.
An advanced degree in the area of specialization is preferred.