Senior Data Engineer Python

Understanding the business requirements

Writing code and implementing the proposed solutions

Creating data pipelines, versioning and change management

Manage the complexity inherent in versioned data pipelines

Building  and maintaining ETL processes

Logging and instrumentation of pipelines and services

Ensuring data quality

Strong debugging skills to analyze and fix a defect in the data processing

Should be a good team player and a great collaborator

Demonstrated expertise with a minimum of 3+ years of experience as data engineer or similar role

Advanced SQL skills and experience with relational databases

Strong Python skills with hands-on experience on Panda, NumPy and other data-related libraries

Strong exposure to write ETL / pipeline code

Experience in Data collection from multiple sources and integrating based on business needs

Experience in working with Google Cloud Platform and Amazon Web Services

GCP: Cloud Functions, Cloud Storage, Dataform, etc.

AWS: ECS, Lambda, EC2, S3, etc.

GitHub Actions for CI/CD, workflows

Terraform

Proficiency in the English language.

Exposure to AI / ML

Exposure to Looker Studio, Tableau, PowerBI;

Looker Enterprise

Google Analytics

Google Tag Manager

Firebase

Salesforce

Hightouch

Datadog