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TELECOMMUTE Data Engineer

Shakti Solutions
United States
4 days ago

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
www.dice.com

Tech stack

Artificial Intelligence Extract Transform Load (ETL) Data Warehousing Python (Programming Language) PostgreSQL Performance Tuning Shell Script PL-SQL Snowflake Amazon Relational Database Service Pyspark Bitbucket
+1 more
Databricks

Requirements

Over 8 Years of experience in Data_ETL/Data Engineer.

Good experience in SQL & PL/SQL, Python, PySpark, ETL and Data Warehousing development experience,Performance Tuning, Bitbucket, Experience leveraging AI tools like Copilot and Windsurf.

Good experience in Healthcare Industry,

Good experience in Databricks, Snowflake, PostgreSQL (AWS RDS PostgreSQL), Developing AI Agents, shell scripting.

Good Communication Skills.

Apply for this position

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

Apply on www.dice.com

Good distractions

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

Moments

Explore playlists

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

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LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

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LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
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WWC Europe 2026 • about 1 month ago

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

Sandhya Menon

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
WWC Europe 2026 • about 1 month ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

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