Sr Data Analyst

Responsblties:

Highly experienced in developing Tableau Dashboards and data models using custom sql, data extracts and real time integrations with Redshift data base
2 years of experience in full lifecycle implementation and support of Data Lake/ BI solutions
4 years of experience in design, development, testing, deploying and supporting data visualizations and analytics solutions using SQL on Amazon Redshift , Spectrum, Oracle DB as well as using Tableau, Kibana, Powe BI and like tools
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
Eager to learn / get trained on new Time series data stores like Apache pinto
Familiarity or experience with Apache Pinot is a plus
Exposure to AWS Lambdas, Kubernetes, Kubeflow, Airflow for orchestration is a plus
Design/ Architect frameworks to Operationalize ML models through serverless architecture and support unsupervised continuous training models
Take over and scale our data models (Tableau, Dynamo DB, Kibana)
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.
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: