Job Description :
10+ years of professional data and analytics solution design and development experience with few years of expertise is several of the following areas :
Big Data technologies such as Hadoop or EMR, Hive, Pig, Python, Spark, Oozie, etc.
NoSQL using tools like HBase, Cassandra, Mongo, AWS (or another cloud) NoSQL service, etc.
In-depth knowledge of data warehousing, ETL/ELT and in-memory/cube use cases and patterns
Experience in technologies like: RDMBS like SQL Server/Oracle, AWS RDS Database (such as Aurora, MySQL, Postgres SQL), SSRS, Power BI, Tableau SSAS and DAX, Reporting Services, SSIS, Talend
Experience in one of the AWS cloud services:
AWS Glue, AWS Datapipeline, AWS Step function, AWS Lambda, S3, Athena, Redshift Spectrum, Glue Data Catalog, etc.
Azure: Experience in similar cloud services as above for the respective cloud providers.
In depth experience in cloud (AWS is a big Plus), data architecture in cloud, and data API''s in cloud.
In-depth experience in Master Data Management (MDM) is required.
Strong analytical and reasoning skills that result in clear, robust, flexible architectures
Proven ability to drive complex design and development efforts in an agile environment
Exemplary communication skills with both technical and non-technical stakeholders