WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Databricks Data Engineer

Central Business Solutions Inc
United States
about 2 months ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Continuous Integration Information Engineering Distributed Systems Software Deployment Google Cloud Cloud Platform System Apache Spark Data Management Machine Learning Operations
+1 more
Databricks

Requirements

*7+ years experience in Data Engineering, Data Platforms & Analytics, 10+ years of consulting experience. *Completed Data Engineering Professional certification & required classes. *Minimum 6-8+ projects delivered with hands-on experience in development on Databricks. *Working knowledge of two or more common Cloud ecosystems (AWS, Azure, Google Cloud Platform) with deep expertise in at least one. *Deep experience with distributed computing with Spark with knowledge of Spark runtime internals *Familiarity with CI/CD for production deployments. *Working knowledge of MLOps. *Current knowledge across the breadth of Databricks product and platform features. *Familiarity with optimizations for performance and scalability.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:05 min

Enhancing Databricks tooling for software engineering workflows

Alan Mazankiewicz · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

5:14 min

Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz · LIVE

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

2:38 min

Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

Videos

See all
Fully Orchestrating Databricks from Airflow thumbnail
39:14
LIVE • almost 5 years ago

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

The Cloud is Calling: Answer with In-Demand Skills thumbnail
21:23
World Congress 2024 • about 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

Parquet, Delta, Iceberg & Ducklake - An introduction for developers thumbnail
28:42
World Congress 2026 Europe • 3 months ago

Parquet, Delta, Iceberg & Ducklake - An introduction for developers

Matthias Niehoff

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Related articles

See all