Job Description :

Position requires very strong written and oral communications skills, including some presentation skills. Works well under general supervision, with regular review of work needed. Candidate must be able to work with a broad range of users, business management, and IT management and project leaders. Candidate must possess professional and negotiating skills as well as the ability to function successfully in a team and results oriented environment.
Experience in Relational, Dimensional Data Modeling with good emphasis on Serving data for Analytics, Reporting, Ad-Hoc Querying spanning across different types of data structures.
Analyze, evaluate, design databases and identify new solutions to increase performance, efficiency and data life cycle management.
Develop, document and implement database solution process flows and coordinate with data engineers and analysts.
Experience with ELT Data Transformation, data modeling and visualization tools.
Good understanding of Data Pipelines, Data Ingestion from a variety of sources (Relational Database, Parquet, Kafka etc
Experience with Multi-Tenant Database Architecture.
Hands-on Experience with Hadoop, Map/Reduce, Parquet, Impala, Hive, Spark (Retrieve/Transform data from a variety of sources, be it Parquet, Impala/Kudu etc
Strong AWS experience required
Additional Experience (Preferred, But Not Necessary)

Experience in curating/provisioning data for Machine Learning.
Experience with Datawarehouse Platforms like Redshift, Snowflake etc.,
Experience with ElasticSearch