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Job ID : 34816

Location : Claremont, CA

Company Name : Apollose

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $106200 - $107700  per hour

No. of Positions : I have ongoing need to fill this role

Required Skills : Java, Python, SQL..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • 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.


  • 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.

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All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. is not a Consulting Company/Training Company/H1B Sponsor.

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