ANA DATA CONSULTING PRIVATE LIMITED

AWS Data Engineer

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Noida
  • Experience: 10-20yrs
  • No. of Positions: 3
  • Salary Range: 20-30 lac
  • Primary Skills: Artificial Intelligence Machine Learning Data Analytics Java Amazon Kinesis EMR Aws Glue Data Science Aws Lambda
  • Secondary Skills: Amazon Redshift Dynamo Db Snowflake Statistical Modeling Spark Python Skills highlighted with ‘‘ are preferred keyskills
  • Job Location: Noida
  • Posted Date: 391 days ago
Job Description

 

 

AWS Data Engineer, CORA OPS360 - Corporate IT

With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brandsand we have fun doing it. Now, were calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. Come, transform with us.

Inviting applications for the role of AWS Data Engineer, CORA OPS360 - CIO Organization

This is an opportunity for you to design and implement high-quality solutions that enables product and service delivery in support of the CORA OPS360 mission, strategy, goals, and objectives.

Data – Data Engineer:

  • Design, build and operationalize large-scale enterprise data solutions and applications using one or more AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake. • Analyze, re-architect, and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services. • Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala. • Design and implement data engineering, ingestion, and curation functions on AWS cloud using AWS native or custom programming. • Perform detailed assessments of current state data platforms and create an appropriate transition path to AWS cloud.

Insights – Data Scientist:

  • • Initial data investigation and exploratory data analysis
  • • Choose one or more potential models and algorithms
  • • Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence
  • • Measure and improve results
  • • Experience on AWS could analytics platform and toolset (SageMaker, Kendra, Comprehend, etc)

Qualifications Minimum qualifications Bachelors/ Master of Technology

Preferred qualifications Trained or Certified in AWS/Azure cloud certifications







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