BlueCloud
Azure Data Engineer - Staples
BlueCloud - Rolling Meadows, Illinois, United States, 60008
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Overview
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Overview
Job title: Azure Data Engineer
Location & commitments: Nearshore or offshore would be ideal for location. Our expectations would be in line with the location. Contract role with Staples, full time hire to BC Turkey or BC India. Flexible US EST hours over lap. Full-time $25-27 per hour for candidates About the role: This role will be part of a team that helps migrate data
workloads (data engineering / Client).
from Azure Databricks into Snowflake (specifically Snowpark). This person will work on a team of 5-10 at Staples, including one of our current teammates who works on that team.
About the project: This project will begin as a POC where we prove out 2-3
workloads (data engineering / Azure Client).
and why it would be faster & cheaper to house
these workloads (data engineering / Azure Client)
in Snowflake instead of Databricks. Once proven, the intent is to bring this teammate onboard Staples fulltime and have them start moving 20-30 other workloads into Snowpark/Snowflake. They will receive other work from Staples as well.
Qualifications or must have candidate requirements: Knowledge on Airflow Administration and DAG development is good to have. Experience in SQL, Python, and Object-oriented programming. Experience migrating data from one system to another (e.g., from Cloudera) Hands-on professional Azure Cloud experience. Understanding of Databricks, both positives and negative features. Knowledge of Azure DevOps, data factory, Azure Databricks, and Snowflake Knowledge of AI Client / Azure Client is preferred. Good to have skills: Knowledge of data warehouse, database concepts, and ETL tools (Informatica, DataStage, Pentaho, etc.) is preferable. Knowledge of DBT. Knowledge of HDFS, Hive queries.
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Location & commitments: Nearshore or offshore would be ideal for location. Our expectations would be in line with the location. Contract role with Staples, full time hire to BC Turkey or BC India. Flexible US EST hours over lap. Full-time $25-27 per hour for candidates About the role: This role will be part of a team that helps migrate data
workloads (data engineering / Client).
from Azure Databricks into Snowflake (specifically Snowpark). This person will work on a team of 5-10 at Staples, including one of our current teammates who works on that team.
About the project: This project will begin as a POC where we prove out 2-3
workloads (data engineering / Azure Client).
and why it would be faster & cheaper to house
these workloads (data engineering / Azure Client)
in Snowflake instead of Databricks. Once proven, the intent is to bring this teammate onboard Staples fulltime and have them start moving 20-30 other workloads into Snowpark/Snowflake. They will receive other work from Staples as well.
Qualifications or must have candidate requirements: Knowledge on Airflow Administration and DAG development is good to have. Experience in SQL, Python, and Object-oriented programming. Experience migrating data from one system to another (e.g., from Cloudera) Hands-on professional Azure Cloud experience. Understanding of Databricks, both positives and negative features. Knowledge of Azure DevOps, data factory, Azure Databricks, and Snowflake Knowledge of AI Client / Azure Client is preferred. Good to have skills: Knowledge of data warehouse, database concepts, and ETL tools (Informatica, DataStage, Pentaho, etc.) is preferable. Knowledge of DBT. Knowledge of HDFS, Hive queries.
#J-18808-Ljbffr