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:

• Advanced knowledge of data analytics, cleaning and preparation.
• Proficiency with data modeling and data analysis tools.
• Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
• Experience with statistical and mathematical analysis.