Data Engineer

TechniPros, LLC
Phoenix, AZ, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Data Analysis Apache HTTP Server Microsoft Azure Big Data Cloud Engineering Data Architecture Distributed Systems Python (Programming Language)
+18 more
Machine Learning Meta-Data Management Standard Sql Enterprise Data Management Google Cloud Snowflake Apache Spark Microsoft Fabric Data Lakes Kubernetes Apache Kafka Data Management Data Lakehouse Terraform Stream Processing Data Pipelines Docker Databricks

Job description

We are looking for a Principal Data Engineer to architect enterprise-scale data platforms supporting AI, Machine Learning, analytics, and real-time data processing. The ideal candidate should possess deep expertise in distributed systems, modern data architecture, and cloud-native engineering., · Architect enterprise data platforms.

· Design Data Lakehouse architecture.

· Build real-time streaming solutions.

· Develop enterprise data APIs.

· Design Data Mesh architecture.

· Implement enterprise metadata management.

· Build scalable cloud-native data services.

· Optimize large-scale data processing.

· Mentor engineering teams.

· Define enterprise data engineering standards.

Requirements

· Python

· SQL

· Databricks

· Spark

· Kafka

· Snowflake

· dbt

· Apache Iceberg

· Delta Lake

· Airflow

· Kubernetes

· Docker

· Terraform

· Data Mesh

· Data Lakehouse

Preferred Skills:

· Microsoft Fabric

· AWS

· Azure

· Google Cloud Platform

· Unity Catalog

· AI Data Pipelines

Mandatory Skills:

· Databricks

· Spark

· Kafka

· Snowflake

· Data Lakehouse

· Apache Iceberg

· dbt

· Airflow

· Python

· SQL

· Kubernetes

· Data Mesh

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