Looking for data problems actually worth solving?

Most data engineering roles are pipeline maintenance in disguise. You inherit someone else's spaghetti, patch it quietly, and call it a day. At Ideas2IT, you'll build data infrastructure that actually powers things: AI platforms, large-scale cloud-native applications, products that have gone on to become independently funded startups.

‍

What you'll actually do as a Data Engineer with us.
Design and build robust data pipelines and architectures on AWS or Azure
‍Develop and optimize ETL processes that handle large-scale structured and unstructured data from multiple sources
‍Work with distributed processing tools like PySpark and Pandas to move and transform data at scale
‍Use cloud services hands-on: Glue, Lakeformation, EMR for AWS Datafactory, Synapse, Datalake, Fabric on Azure
‍Model and warehouse data that feeds BI tools and supports real analytical decisions
‍Write clean Python or Scala to automate, integrate, and build
‍Collaborate with analytics and business teams to translate data needs into infrastructure that works
‍Contribute to tech stack decisions: your opinion on architecture matters here, not just your execution.

‍

Must-haves:
Strong SQL and hands-on experience with relational databases: MySQL, PostgreSQL, or SQL Server
Strong hands-on experience with Cloud data warehouses: AWS Redshift, Snowflake, Azure Synapse Analytics
Experience in at least one cloud environment: AWS or Azure
Proven experience building large-scale data pipelines and ETL processes
Proficiency with distributed data processing: PySpark, Pandas, Polars
Fluency in Python and/or Scala
Experience with cloud data services (Glue,



Lakeformation, EMR for AWS Datafactory, Synapse, Datalake, Fabric on Azure)
Ability to handle messy, large-scale data from internal and third-party sources and make it usable

‍

Nice-to-haves:
Experience with data visualization tools: Power BI or Tableau
Familiarity with orchestration and workflow management tools
Familiarity with Data quality, testing and observability tools
Familiarity with Docker and Kubernetes

‍

Why Ideas2IT – and why now?

We operate at the intersection of a product studio and a services firm. That means your work spans industries, scales, and problem types, and not the same pipeline in a slightly different color for three years running. We've built data infrastructure for companies like Meta, Bloomberg, and Medtronic. We've also launched six of our own products through IdeaLabs, several of which have become independently funded startups: Element5 (a $50M health-tech platform), LegacyLeap, IdeaRx, PipeCandy, and more. The shift to AI-native development is changing what great data engineering looks like. The engineers who thrive next aren't just pipeline builders; they're the ones who understand what AI systems need from data, and build infrastructure that delivers it. You'll develop that fluency here, on real products, not in a sandbox.

‍





What that looks like day-to-day:
Autonomy to contribute to architecture and tech stack choices, not just implement them
Access to technical PoCs if there's a technology you want to explore
Internal Shark Tanks and Hackathons if you want to take an idea further
A culture that weights capability over tenure

‍

The hiring process – we mean business & move rapid.
Send us something real: your resume, GitHub, a short note. We're not fussy.
Do a real-world challenge: a task relevant to the work, not a whiteboard puzzle.
Talk to the people you'd work with: no HR screening theatre.
Get a fast answer: yes or no, with a reason either way.

‍

About Us:
Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, and others. Harnessing our product-centric approach, we've incubated several AI-based startups—including Pipecandy, Element5, IdeaRx, and Carefi. in—that have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives.‍

P.S. We're all about diversity, and our doors are wide open to everyone. Join us in celebrating the awesomeness of differences!

📌 Data Engineer (India)
🏢 Ideas2it Technologies
📍 India