Sr Data Analyst

Responsiblties:

• Hands on experience building regression, classification, Deep learning models and taking it to production with good accuracy rates.
• Experience in building unsupervised continuous learning models and work with data engineers to optimize and operationalize.
• Should be hands on with Sage maker, Jupiter notebook or like platforms to analyze and build models
• Self-sufficient in handling large volumes of data with excellent SQL skills.
• Communicate data-backed findings to a diverse constituency of internal and external stakeholders
• Participate in technical decisions and collaborate with talented peers.

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.

Key Skills:

• Communication.
• Problem solving.
• Machine learning.
• SQL.
• Critical thinking.
• Data cleansing.
• Microsoft Excel.