YD M Data Engineer

October 1

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Adaptiq

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Description

• Develop scalable, robust data platforms and data models. • Deliver solutions to support business and operational excellence. • Design, Develop & Deploy data pipelines and data models. • Ingest and export data between systems (e.g., Salesforce, Braze, SurveyMonkey). • Architect and implement data-related microservices and products. • Implement best practices in data management, including data lineage, observability, and data contracts. • Maintain, support, and refactor legacy models and layers within the DWH.

Requirements

• Minimum of 3 years of experience in software development, data engineering, or business intelligence. • Proficiency in Python - A must. • Advanced SQL skills - A must. • Strong background in data modeling, ETL development, and data warehousing - A must. • Experience with big data technologies, particularly Airflow - A must. • General understanding of cloud environments like AWS, GCP, or Azure - A must. • Familiarity with tools such as Spark, Hive, Airbyte, Kafka, Clickhouse, Postgres, Great Expectations, Data Hub, or Iceberg is advantageous. • Experience with Terraform, Kubernetes (K8S), or ArgoCD - is advantageous. • A bachelor’s degree in Computer Science, Engineering, or a related field is advantageous but not mandatory.