r/BigDataJobs

Role:

Manage emails, messages, and basic scheduling

Assist with communication between clients and team members

Perform simple administrative and online tasks

Help keep daily activities organized and on track

🔹 Requirements:

Good English communication skills

Basic computer/phone skills

Ability to follow instructions and stay organized

Reliable and responsive

💰 Pay:

Up to $50 per day (depending on availability and performance)

⏰ Time Requirement:

Minimum 1 hour per day (flexible schedule)

💳 Payout Options:

PayPal, Venmo, Cash App, Check

Hi everyone,

I have come across platforms that provide Data Engineering programs, such as TrendyTech and Bosscoder Academy. Can someone please let me know which one is better? Also, are there any other platforms that provide better coaching for Data Engineering?

I am joining OMD in chicago this summer as a data science intern. I am really excited and eager to learn in this internship, but I do not know what to expect. Are there any tips? How is the work life? Is there anyone else joining this summer? I would love to connect!

Hi everyone,

I’m a software engineer based in India with around 4 years of experience, currently working at Accenture.

My primary skills are:
SQL
Power BI
Advanced Excel
Python

I recently completed my maternity break and am now looking for remote/work-from-home opportunities in India. My current compensation is around 10 LPA.

I would really appreciate guidance on

1. Companies in India that are actively hiring for remote data/BI/analytics roles

2. Which platforms or communities are currently working best for remote tech hiring

I’m mainly targeting roles like:
Data Analyst
BI Developer
Reporting Analyst
Power BI Developer
SQL/Python-based analytics roles

If anyone has recently switched or hired for similar profiles, your suggestions would help a lot.

​9 years of experience specializing in building and optimizing production-ready data systems.

​Core Expertise

​ML Infrastructure: Productionizing models using AKS, SageMaker, and Docker.

​Modernization: Migrating legacy systems to Palantir Foundry and Databricks.

​Data Governance: Implementing Data Contracts to stabilize downstream pipelines.

​Cost Optimization: Reduced annual cloud spend by $250k for a previous client.

​Technical Stack

​Infrastructure: Terraform, Docker, Azure, AWS.

​Data Engineering: PySpark, Azure Data Factory, Databricks, Palantir Foundry.

​Schedule & Rate

​Rate: $60/hr (USD).

​Hours: 9 AM – 9 PM IST.

​Overlap: Full overlap with EMEA/UK; "Follow-the-sun" support for US teams.

​Contact: Please send a DM or Chat to discuss project requirements.