Senior Data Analyst

Requirment:

• 4 or more years of experience working directly with enterprise data solutions.
• Hands on experience working in a public cloud environment and on-prem infrastructure.
• Specialty on Columnar Databases like Redshift Spectrum, Time Series data stores like Apache Pinot and the AWS cloud infrastructure
• familiarity with in-memory, serverless, streaming technologies and orchestration tools such as Spark, Kafka, Airflow, Kubernetes
• Current hands-on implementation experience required, possessing 3 or more years of IT platform implementation experience.
• AWS Certified Big Data - Specialty desirable
• Experience designing and implementing AWS big data and analytics solutions in large digital and retail environments is desirable
• Advanced knowledge and experience in online transactional processing and analytical processing databases, data lakes, and schemas
• Experience with AWS Cloud Data Lake Technologies and operational experience of Kinesis/Kafka, S3, Glue and Athena.
• Experience with a wide variety of modern data processing technologies, including.

Key Skills:

• Data Analysis and Exploration. 
• Statistical Analysis. 
• Programming. 
• Database Management. 
• Creating Dashboards and Reports. 
• Data Visualization. 
• Machine Learning.