Data Engineer

Conch Technologies

Orlando, FL, United States

2 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$50,700.0 - $91,650.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Business Analytics Applications Microsoft Azure Big Data BigQuery Cloud Database Computer Programming Databases Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation

+17 more

Dataspaces Data Warehousing Distributed Computing Environment Python (Programming Language) Performance Tuning Power BI Cloud Services Azure Data Lake SQL Databases Enterprise Data Management Data Processing Enterprise Software Applications Azure Data Factory Snowflake Microsoft Fabric Azure Synapse Analytics Data Pipelines

Requirements

8+ years of Data Engineering experience designing and supporting enterprise data platforms.
Strong hands-on experience building ETL/ELT pipelines and data integration solutions.
Experience with Microsoft Fabric including Data Factory, OneLake, Lakehouse, and Data Warehouse.
Proficiency in SQL for complex data transformation, optimization, and performance tuning.
Strong programming skills in Python, Scala, or similar languages for data processing.
Experience with Azure Data Lake, cloud data platforms, and modern data ecosystems.
Experience building scalable data warehouses, lakehouses, and analytics platforms.
Strong understanding of relational, dimensional, and enterprise data modeling concepts.
Hands-on experience with data orchestration tools such as Azure Data Factory or Fabric Data Factory.
Experience integrating data from APIs, databases, flat files, and enterprise applications.
Knowledge of big data technologies and distributed data processing frameworks.
Experience supporting Power BI reporting, self-service analytics, and business intelligence initiatives.

Preferred Skills:

Strong experience with Microsoft Azure and Microsoft Fabric ecosystem.
Experience with Azure Synapse, Snowflake, BigQuery, or similar cloud data warehouses.