Senior Data Engineer (Jaipur, India) role at ThoughtsWin in Jaipur, Rajasthan. This is a full-time, on-site position, aimed at experienced professionals.

The listing was posted on 5 Aug 2026 on LinkedIn, and it names Python, SQL, Azure and Kubernetes among the skills it asks for.

About ThoughtsWin

The listing describes ThoughtsWin only briefly; read the employer's own page for its full background before applying.

The role in plain terms

This is a senior Azure data-engineering role at an AI/technology consultancy: you architect data lakes on ADLS Gen2, build ETL/ELT pipelines with Azure Data Factory and Databricks (PySpark, Scala, SQL), orchestrate across ADF, Databricks and Synapse, tune Spark jobs for performance and cost, implement Delta Lake, engineer real-time ingestion from Event Hubs, IoT Hub and Kafka, and own the platform end to end - data quality with Great Expectations, access control via Azure AD and RBAC, lineage through Purview or Unity Catalog, CI/CD in Azure DevOps, and monitoring with Azure Monitor.

What the employer asks for

These requirements are quoted or closely condensed from the employer's listing so the details are not distorted:

6-8 years of experience designing and optimizing large-scale production data pipelines on Azure.
Hands-on command of Azure Data Factory, Databricks (PySpark, Scala, SQL), Synapse and ADLS Gen2.
Spark performance tuning: partitioning, caching, cluster configuration and autoscaling.
Real-time ingestion from Event Hubs, IoT Hub and Kafka; Delta Lake with time travel and audit.
Data quality with Great Expectations; access control via Azure AD, RBAC and Key Vault; lineage via Purview or Unity Catalog.
CI/CD in Azure DevOps with infrastructure as code (ARM/Bicep or Terraform) and Databricks CLI/REST API.

Who this role suits

This suits a data engineer with 6-8 years, most of it on the Azure data stack - the listing is a wall of specific Azure services and expects production-grade command of all of them. It is not a role to learn Databricks in; it fits someone already shipping and tuning distributed Spark workloads who also enjoys the DevOps and governance side.

Practical notes

Expect a deep technical loop: Spark tuning scenarios (partitioning, caching, autoscaling), pipeline design, and a Delta Lake architecture discussion. Have one cost-optimization story ready. One caution: this listing was posted in early August and was still listed when we checked, so confirm the seat is still open. Salary is not stated.

How to apply

Apply on the listing where the employer published this role: Senior Data Engineer (Jaipur, India) at ThoughtsWin. We found this listing on LinkedIn (linkedin.com), where it was posted on 5 Aug 2026 and was still open when we checked on 31 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. Never pay a fee to apply or interview; a genuine hiring process does not charge candidates.

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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.