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Data Engineer

Kani Solutions
United States
3 months ago
Apply on dice.com
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Role details

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

Tech stack

Amazon Web Services Microsoft Azure Big Data Information Engineering Extract Transform Load (ETL) Data Warehousing Apache Hadoop Python (Programming Language) Performance Tuning SQL Databases Google Cloud Snowflake
+4 more
Apache Spark Data Lakes Data Pipelines Databricks

Requirements

  • 8+ years of Data Engineering experience.
  • Strong expertise in SQL and Python.
  • Hands-on experience with Databricks, Snowflake, Spark, Hadoop, or similar technologies.
  • Experience working with AWS, Azure, or Google Cloud Platform.
  • Knowledge of ETL/ELT development and data pipeline design.
  • Experience with data warehousing, data lakes, and large-scale data processing.
  • Strong understanding of data modeling and performance optimization.
  • Excellent communication and collaboration skills.

Apply for this position

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

Apply on dice.com
Prepare application

Good distractions

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

Moments

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1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

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LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

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World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

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

PySpark - Combining Machine Learning & Big Data

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World Congress 2026 Europe • about 2 months ago

Hacking AI at the Edge of the Indian Ocean

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