Data Engineer Azure Databrick, dbt Labs & Capital Markets Overview (Gurugram)

Data Engineer Azure Databrick, dbt Labs & Capital Markets Overview (Gurugram)

12 Nov
|
Multiverse Solutions Private
|
Gurugram

12 Nov

Multiverse Solutions Private

Gurugram

We are looking for a Junior Data Engineer with 35 years of overall data-engineering experience, including 1–2 years delivering data to a capital-markets team. You will build and support reliable data pipelines using Azure Databricks and dbt, working within established engineering standards and alongside more experienced engineers.

You should understand at a high level how trading, risk, portfolio, or operations teams use the data you deliver. Deep expertise in pricing models or trading strategies is not required.

Responsibilities

- Build, test, and maintain data pipelines and transformations in Azure Databricks and dbt.
- Prepare market, reference, trade, position, pricing, or portfolio data for downstream users.
- Add checks for data completeness, accuracy, and consistency; investigate discrepancies and pipeline failures.
- Document data sources, transformations, and known limitations.
- Use Git and established deployment processes to release changes safely.
- Work with engineers and business users to clarify requirements and resolve data issues.

Required qualifications

- 3–5 years of data engineering experience,



with 1–2 years delivering data to a capital-markets team.
- Hands-on experience with SQL and Python; experience with PySpark, Azure

Databricks, or dbt in a production setting.
- Experience building or supporting scheduled data pipelines, including testing and troubleshooting.
- Familiarity with Git and code-review practices.
- A working understanding of concepts such as security identifiers, as-of dates, data freshness, and reconciliation—and why they matter to data consumers.

Preferred qualifications

- Experience using both Azure Databricks and dbt.
- Familiarity with Delta Lake, incremental data processing, and automated deployment.
- Experience with market data, security master, trade, position, pricing, or risk datasets.

Success in this role means delivering dependable datasets, identifying data problems early, and communicating clearly with the teams that rely on your work. You can make progress independently by using documentation, existing code, and other available resources, while knowing when to

📌 Data Engineer Azure Databrick, dbt Labs & Capital Markets Overview (Gurugram)
🏢 Multiverse Solutions Private
📍 Gurugram

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