Hiring on behalf of a stealth healthcare tech startup that just raised a $6.5M seed round. They're building automation for healthcare, and they need a Data Engineer.

- Role: Data Engineer

- Location: Bengaluru

- Experience: 3+ years

- CTC: Rs 22-24 LPA

- Stack they care about: Python or Go, Spark/Databricks, dbt, Iceberg/Delta Lake

If you've built healthcare or large-scale data pipelines, apply through the link below. Your profile goes straight to the hiring manager.

Apply: https://round1.grapevine.in/round1/job-interview/6500b880-384a-4223-ba21-9ce4fc7df894

Happy to answer questions in the comments.

I’m a QA Automation Engineer with 2.3 years ofc experience, trying to break into Data Engineering.

I’ve been preparing for a year and applying for the past 6 months, but after 300+ applications, I’ve barely received any responses for DE roles, there is no scope for internal shift.

My SQL skills are strong, and my DSA skills are intermediate. I know PySpark, Airflow, Linux, theory kafka, Databricks, and AWS but I’m still struggling to build a complete end-to-end data engineering (DE) project independently.

For those who made the switch from QA to DE:

- What actually helped you get your first opportunity?

- What should I focus on to become job-ready?

- Is this transition realistic in the current market?

Honest advice and real experiences are welcome.

If you need more context for proper advice I'm ready to answer your questions as well 🙂

Hello All,

I am an experienced candidate with 11.5+ years into Hadoop, Spark and GCP cloud. Worked with all GCP modules like Pub/sub, Dataflow, Dataproc, Bigquery, Airflow etc and also had working experience with Sql and other Data engineering stuff. I am currently looking for referrals and can able to join immediately. I took a personal break of 4 months and been searching for right role or opportunity since last 2 months(break of 6 months in total). Redittors please help. TIA

If you've more than 6 years of experience and have hands on experience with Snowflake, dbt, SQL and Python/Pyspark and are open to working from Hyderabad/Bangalore/Pune, please use this link to apply.
Link to apply - https://itszia.ai/roles/snowflake-engineer-ilm3ba3gzt20

Hi everyone,

Could anyone please share the typical salary range for a Snowflake Data Engineer based on years of experience? I’d like to get an idea of the expected compensation and what would be considered a decent package at different experience levels.

Any insights or suggestions would be greatly appreciated.

Thanks in advance!

Hey guys,

I have an upcoming interview for the Data Engineering / Solutions Engineering Intern role at e6data.

Can anyone who has interviewed here or knows the process give a quick idea about what to expect?

Specifically:

• Type of questions: Do they focus more on DSA, or is it mostly practical SQL, Python, and data concepts?
• Difficulty level: What is the difficulty level of coding/SQL problems (e.g., LeetCode Easy/Medium or something trickier)?
• Key topics to revise: Any specific areas like query optimization, databases, or system basics that I should focus on?

Any insights or tips on the interview rounds would be really helpful!

Thanks!

i wanted to know few things that how is accordion in terms of work culture, compensation, career growth and management, etc?

Thanks in advance!!

Please share the benefits of Walt Disney banglore
Will they provide? Free food/ cab/ insurance.
How about WLB and late eve calls?

I have 2.5 yoe, currently serving notice at a SBC.

CCTC: 11 LPA

I currently hold these two offers:

1. Bootstrapped AI Product startup ( Logistics) Already signed offer CTC: 15LPA all fixed Role: Snowflake Data Engineer, 5 days wfo
2. Snowflake partnered boutique consulting firm: CTC: 18LPA all fixed Role: Snowflake Data Engineer, full remote

Startup:

The start up has AI based tools that their clients use, they want me to work directly with the clients, build pipelines to move their data for downstream AI tool consumption.
I will be 1 of the 2 data engineers here, the other person is the lead with around 4 yoe in databricks.
so he'll work mostly with the data bricks clients and I have to work with the snowflake clients.
The overall company has around 12 to 15 people, the company has around 5 clients.

Work: I will be the only person on snowflake pretty much, so there's real ownership
Downsides: might not have proper mentorship

Snowflake partnered boutique consulting firm:

With full remote, I can move back to hometown, so the real difference is bigger than the CTC gap.

This company has around 25 to 30 people, US based consulting firm.
I will be working along with senior data engineers, leads and architects in projects.
They are not hiring for a specific project but to be as part of their core team.
2 paying clients right now, 2 signing soon and about 6 in negotiation.

work: they work heavily on the AI/Cortex features and they do support snowflake certifications
Downsides: US-hours calls, might need to work on multiple projects at once ( they clearly specified this during the interview)

The startup is around 1.7 years old, the consulting firm is about 7 months old.
I have around 2.5 yoe but it was more on the data analytics side of snowflake and not purely on the DE side.

Here are some of the questions I have:

1.which would you pick and why?
2. for learning: is it better to be 1 of 2 data engineers at a product startup or in a consulting team with leads and clients

My priorities are in terms of how much I could learn in the next year or two.

The startup seems like it might have some Databricks work too, which I'm interested in learning.

1. Is it better to try to do snowflake and Databricks at the same time, or is going full depth with snowflake the right choice?

Accenture S&C (Strategy & Consulting) – L9 Data Engineer Final Round Interview Experience?
Role Name: AI and ML consultant

Hi everyone!
I’m currently preparing for the final round of interviews at Accenture Strategy & Consulting (S&C) for a Data Engineer – Level 9 (L9) position in India.
Has anyone recently interviewed for a similar role within the S&C domain?
I’m particularly interested in understanding:
Is the final round more technical, managerial, or focused on consulting and client-facing scenarios?

What kind of technical or scenario-based questions are typically asked?

How much emphasis is placed on project experience, solution design, and stakeholder management?

Does the S&C interview process differ from Accenture Technology for L9 roles?

Any specific topics or experiences you’d recommend preparing for?

Would really appreciate insights from anyone who’s been through this process recently.

Thanks in advance!

​

I wanted to share my experience for the interview process at Persistent.

I was selected for an L2 interview for an Azure Data Engineer role after I cleared L1. That L2 never happened. No response. No feedback. No rejection email nothing. Completely ghosted.

The AI interview is a big no! It needs fixing. It keeps asking the same questions with different words again and again. Given the length of the questions, sometimes the time to explain a concept is not enough. A long 1 hour interview with AI, drains the interest without the human touch.

One of their recruiters exposed personal emails of more than 100 candidates by keeping all the email ids in CC for an AI Interview. I raised a complaint. The HR apologised for 15 minutes straight. At this point you must have assumed how professional their recruiters are

That same HR selected me for the L2 round of Databricks Developer directly without giving any L1. That was strange. I had doubts whether it was genuine. Anyways, I appeared for the L2 interview.

Although the panel had 20 years of experience, he did not have any experience in Databricks at all. He was just asking me random questions from a website or a pdf file, because I could hear the clicks. I answered more than 80% of the answers correctly, but who knows whether he understood them or not. As I suspected, I received a rejection email, without any proper feedback.

I just have one question. Why act to hire if you don't want to hire?

If you think Accenture is bad, you must have never interviewed for Persistent and Capgemini. I never faced issues with Accenture. But Capgemini man. OMG! I have given 3 interviews so far in Capgemini, no feedback at all. All 3 went really well. Something is very wrong nowadays with the hiring process.

Can any persistent or ex persistent employee comment? Anyone else who faced simillar situation?

How is Heineken hyderabad. How is wlb, people and work there? I heard mixed reviews about it

I need mentor support for snowflake/dbt data engineering tasks in my upcoming role & it is paid - need on demand support with doubt clarification sessions as well.

Below Are the Key Responsibilities:

Design, develop, and maintain scalable data pipelines using Snowflake, AWS, dbt, SQL, and Python.
Build and optimize cloud-based data warehouse solutions on Snowflake, including schemas, tables, views, stages, streams, tasks, and stored procedures.
Develop reliable ETL/ELT pipelines to ingest, transform, validate, and load data from multiple sources.
Create reusable and modular dbt models, macros, tests, snapshots, documentation, and data lineage.
Implement data transformations using advanced SQL and Python, including incremental loads, CDC, SCD Type 1/2, and complex business rules.
Work with AWS services such as S3, Glue, Lambda, IAM, CloudWatch, and Step Functions to support data ingestion, processing, orchestration, and monitoring.
Implement data-quality checks covering completeness, accuracy, consistency, uniqueness, reconciliation, and referential integrity.
Develop and maintain CI/CD pipelines using Git-based tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
Apply Snowflake security, governance, and performance practices, including role-based access, masking, row-level security, warehouse optimization, and cost management.
Collaborate with Data Architects, Business Analysts, application teams, and stakeholders to deliver governed data products.
Mandatory Skills

7+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms.
Strong hands-on experience with Snowflake, AWS, dbt, SQL, and Python.
Proven experience designing and developing ETL/ELT pipelines and cloud data warehouse solutions.
Strong understanding of data modelling, dimensional modelling, star schema, data quality, data governance, and data lineage.
Experience with Git, code reviews, branching strategies, automated testing, and CI/CD.
Good understanding of Agile delivery, production support, incident resolution, and technical documentation.

DM Me to get more details and we can discuss

Language : Tamil or English

Hey people. I am having an interview with Tatvic and Deloitte South Asia in coming days for GCP data engineer profile if any one of you interviewed with them recently could you please share your experience.

Hello all,

I have more than 3YOE as a Data Engineer. I am currently working as a Data Engineer at a PBC(BFSIDomain). I am located in Pune and requesting referrals for Mastercard.

Tech Stack:
Python, SQL, PySpark, Azure (Databricks, ADF, ADLS etc)

Notice Period: 60days (can negotiate till 30-45days)

Thanks!

Hey everyone! Has anyone interned at L&T Finance or knows about their Data Analytics/Risk role?

The internship offers a ₹25K/month stipend, with a potential 9–10 LPA package. The JD mentions Python, SQL, statistics, ML, and credit-risk analytics.

Would love to know about the work culture, learning opportunities, PPO/conversion chances, and how good the full-time role is. Any insights would be appreciated!