Senior Data Engineer

Capnexus

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Design and implement a multi-zone enterprise data lake on Amazon S3
  • Build batch and streaming data ingestion pipelines using AWS Glue and Amazon Kinesis
  • Write PySpark and Python ETL code for AWS Glue jobs
  • Implement data transformation and orchestration using AWS Step Functions
  • Implement AWS Lake Formation for fine-grained data governance
  • Configure Amazon Athena for serverless SQL querying and Amazon DynamoDB for lookups
  • Develop and deploy AWS Lambda functions using AWS Lambda Powertools
  • Write and maintain Terraform or CloudFormation modules for infrastructure as code
  • Integrate CI/CD pipelines using GitHub Actions
  • Support Azure Data Lake migration via AWS DataSync
  • Design entity resolution pipelines for customer record deduplication
  • Build data models to support Customer 360 views and Amazon QuickSight dashboards

Requirements

  • 5+ years of data engineering experience
  • 2+ years of experience in AWS cloud environments
  • Strong proficiency in Python and SQL
  • Hands-on experience with PySpark or Scala
  • Experience with AWS Glue, Step Functions, Lambda, and Amazon S3
  • Proficiency with AWS Lambda Powertools
  • Working knowledge of Apache Iceberg
  • Experience with Terraform, CloudFormation, or AWS CDK
  • Experience with AWS Lake Formation
  • Understanding of DynamoDB data modeling
  • Experience with Amazon Athena performance tuning
  • Experience with GitHub Actions or comparable CI/CD tooling

Preferred Qualifications

  • Experience with Azure Data Lake Storage (ADLS)
  • Familiarity with AWS Entity Resolution service
  • Exposure to Amazon Bedrock or Amazon SageMaker
  • Knowledge of Amazon QuickSight
  • AWS Certification (Data Analytics, Database, or Solutions Architect)
  • Background in real estate or property management data

About the Company

Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. They operate as a build-as-a-service provider with a culture focused on outcomes, delivery, and continuous learning.

Skills & tools

AWSPythonPySpark

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years data engineering experience
  2. 022+ years AWS experience
  3. 03Proficiency in Python and SQL
  4. 04Experience with AWS Glue and S3
  5. 05Infrastructure as Code (Terraform/CDK)
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