Data Engineer - AZURE & AIRFLOW

THE LINKS AT DARDENNE, INC.
Bedminster, United States of America
2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Bedminster, United States of America

Tech stack

API
Airflow
Azure
Code Review
Databases
ETL
Data Structures
Relational Databases
Dimensional Modeling
Python
PostgreSQL
Microsoft SQL Server
MongoDB
NoSQL
Oracle Applications
SQL Databases
Test Data
Azure
Snowflake
Cosmos DB
Azure

Job description

  • Build data pipelines / data orchestrator and data structures for existing operational data stores, Azure data lake & data warehouse.
  • Develop proof-of-concepts to evaluate new technologies and suggest improved and better ways to re-architect existing data loading processes and data structures.
  • Design and develop ELT / ETL to load data from internal sources into operational data stores, Azure data lake and data warehouse.
  • Create APIs, data structures and schemas to store and retrieve data.
  • Create and maintain data mappings, data definitions, architecture, and data flow diagrams.
  • Implement solutions to validate and test data quality.
  • Build proof-of-concepts to determine viability of new processes and technologies.
  • Deploy and manage code in non-prod and prod environments.
  • Troubleshoot data related issues and fix defects.
  • Optimize and performance tune databases and queries.
  • Participate in code reviews and train other team members.
  • Document code and create code templates based on industry best practices.

Requirements

  • Bachelor's Degree and/or equivalent experience required.
  • Minimum 5 years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles.
  • 5+ years of solid continuous experience in Python.
  • 3+ years of continuous experience with Airflow.
  • 3+ years of experience with Azure Data Factory (ADF) or similar.
  • 3+ years of experience working with relational databases: Oracle, SQL Server, PostgreSQL, or similar.
  • 3+ years of experience working with NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar.
  • 3+ years of experience writing SQL code.
  • 3+ years of experience in Kimball Dimensional Modeling (Star-Schema).
  • 2+ years of experience in columnar databases: Snowflake, Azure Synapse, or similar.
  • 2+ years of Azure experience.

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