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IT - Technology Lead | Data On Cloud - Platform | AWS

Cloudspace LLC
Stamford, CT, United States
3 months ago
Apply on www.careerjet.com
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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.careerjet.com

Tech stack

Amazon Web Services Cloud Computing Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Performance Tuning Query Optimization SQL Stored Procedures Sql Optimization

Requirements

Technical Business Analyst with 6+ years of experience. Strong analytical and problem solving skills. Excellent communication and stakeholder management abilities. Ability to work closely with data architects, business analysts, and product teams to understand requirements. Advanced SQL knowledge (query optimization, stored procedures, performance tuning). Nice to have ETL, Data Warehousing and Python knowledge. Minimum years of experience*: 8-10 years

Apply for this position

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

Apply on www.careerjet.com
Prepare application

Good distractions

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

Moments

Explore playlists

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

3:22 min

Embracing polyglot persistence versus strictly relational databases

Stefan Priebsch · World Congress 2021

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:51 min

Alibaba Cloud developer resources and cloud computing training

Cheng Zhang · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

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Alibaba Big Data and Machine Learning Technology

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World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

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

Sandhya Menon

Green Cloud Computing thumbnail
35:20
LIVE • over 3 years ago

Green Cloud Computing

Doreen Sacker

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML thumbnail
39:58
LIVE • almost 6 years ago

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse thumbnail
23:38
World Congress 2026 Europe • 3 months ago

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse

Hellmar Becker

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