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Data Engineer

iMedhas Consulting Services
New York, NY, United States
2 months ago
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Role details

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

Tech stack

Java (Programming Language) JavaScript (Programming Language) Amazon Web Services Microsoft Azure Big Data Computer Programming Data Visualization Data Warehousing Apache Hadoop Python (Programming Language) Power BI SQL Databases
+4 more
Tableau (Software) Apache Spark Apache Kafka Golang

Requirements

Requirement:5+ years of coding experience in Java, Javascript, Go or equivalentProven experience as a Data Engineer, with a strong background in data warehouse Operational excellence activities and data modeling.Expertise in SQL and experience with big data technologies such as Hadoop, Spark, Kafka, or similar.Experience with data visualization tools and platforms such as Tableau, Power BI, or similar.Strong programming skills in Python, Java, SQL and Scala.Experience in cloud platforms like AWS, Azure, or Google CloudAbility to work independently and partner with cross functional teams to manage end to end RTB, tech mandates and active developmentAbility to communicate technical concepts clearly and concisely among audiences at many different levels

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

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Good distractions

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

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

56 sec

Introduction to analytical data formats for software developers

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

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Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall! thumbnail
30:37
World Congress 2026 Europe • about 2 months ago

Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!

Manfred Bjørlin

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

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

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

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