Description

Job Description :

  • As a Senior Data Engineer, you’ll have a key role in building and designing the strategy of our finance analytics engineering team under the Enterprise Data Engineering group.
  • Our Technological Stack includes: Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more.

Roles and Responsibilities :

  • Building, and continuously improving our data gathering, modeling, reporting capabilities and self-service data platforms.
  • Working closely with Data Engineers, Data Analysts, Data Scientists, Product Owners, and Domain Experts to identify data needs.

Qualifications Required:

  • Relevant Bachelor degree – preferably CS, Engineering/ Information Systems or other equivalent Software Engineering background.
  • 8+ years of experience as a Data/BI engineer.
  • Strong SQL abilities and hands-on experience with SQL and no-SQL DBs, performing analysis and performance optimizations.
  • Hands-on experience in Python or equivalent programming language Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake) Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation and maintenance.
  • Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, Athena.
  • Experience with Airflow and DBT – Advantage.
  • Experience with data visualization tools and infrastructures (like Tableau/SiSense/Looker/other) – Advantage.
  • Experience with development practices – Agile, CI/CD, TDD – Advantage.
  • Experience with Infrastructure as Code practices – Terraform – Advantage

Key Skills
Education

Any Graduate

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