Compunnel Inc. | Cloud Data Engineer

4 weeks ago


san francisco bay area, United States Compunnel Inc. Full time

Job: Cloud Data Engineer

Location: San Francisco CA - Hybrid (2+ days in office)

Interview process: Phone/teams/Webex interview with HM & 2nd round: Panel interview


Top Must have skills:

  • Min 10 years of relevant experience and 5+ with AWS Cloud
  • Need strong on SQL and cloud and able to build data pipeline.
  • Migration to Cloud from SQL server.
  • hands-on exp in SQL and Data Pipeline
  • AWS data product and services - S3, Glue, Redshift, Lambda, Aurora, ci/cd, CloudWatch
  • Python
  • SAP Business Objects (Nice to Have)
  • data migration and data warehousing


Requirements:

  • Expert in developing and analyzing complex SQL on a variety of RDBMS (Microsoft SQL Server, Oracle)
  • Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
  • Experience with ETL tools (Informatica)
  • Ability to create quality ERD’s (entity-relationship diagrams)
  • Excellent writing skills for writing user and system documentation
  • AWS Cloud Data Warehousing Technologies
  • Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices (S3, DMS, Glue, Lambda)
  • Development/modeling experience with Amazon Redshift
  • Experience using the AWS service APIs, AWS CLI, and SDKs to build applications
  • Proficiency in developing, deploying, and debugging cloud-based applications using AWS
  • Ability to use a CI/CD pipeline to deploy applications on AWS (GitLab, Terraform, DBMaestro)
  • Ability to apply a basic understanding of cloud-native applications to write code
  • Proficiency writing code for serverless applications
  • Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
  • Ability to author, maintain, and debug code modules on AWS
  • Database: AWS Aurora Postgres
  • Data Access: AWS Athena
  • Data Analytics: AWS Quicksight
  • Familiarity working with or knowledge of Alteryx, Collibra, Immuta, Okta a plus.

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