Python Data Engineer, Aladdin Data, Associate

BlackRock · Gurugram · 5+ yrs experience · Posted 2026-07-18

Tech stack: Azure, Java, Kafka, Python, SQL

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About the role

About this role About Aladdin Data & EDP Aladdin Data is responsible for the data platforms, products, and engineering capabilities that power BlackRock’s Aladdin ecosystem. It enables the delivery of trusted, governed, and scalable data and analytics that support investment decisions, risk management, operations, and client solutions across the firm. At the heart of this organisation is the Enterprise Data Platform (EDP)—BlackRock’s strategic data platform and the foundation for how data products are built, governed, and consumed at scale. EDP powers the acquisition, processing, governance, and distribution of data across Aladdin and BlackRock, enabling everything from investment workflows and analytics to AI-driven solutions. As an engineer in EDP, you will help build the core platform capabilities that underpin BlackRock’s data ecosystem and support the firm's vision of delivering trusted data as a product at enterprise scale. The Associate - Data Platform Engineer engages in projects from the start, including: Data Platform Engineer engages in projects from the start, including refining requirements and designing, developing, testing, deploying, and maintaining Enterprise Data

Responsibilities:
- Actively participate in chapter ceremony meetings and contribute to project planning and estimation. Coordinate work with product managers, data owners, platform teams, and other stakeholders throughout the SDLC cycle.
- Use Airflow, Python, Snowflake, dbt, and related technologies to enhance and maintain EDP acquisition, ingestion, processing, orchestration and DQ frameworks.
- Adopt new tools and technologies to enhance framework capabilities.
- Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle.
- Document and present accomplishments and challenges to internal and external stakeholders. Demonstrate deep understanding of modern data engineering tools and best practices.
- Design and build solutions which are performant, consistent, and scalable.
- Contribute to design decisions for complex systems. Provide L2 / L3 support for technical and/or operational issues.

Qualifications:
- At least 5+ years' experience as a data engineer
- Expertise with SQL, stored procedures, UDFs
- Advanced level Python programming or Advanced Core Java programming.
- Experience with Snowflake or similar cloud native databases
- Experience with orchestration tools, especially Airflow Experience with declarative transformation tools like dbt
- Experience in Azure services, especially ADLS (or equivalent)
- Exposure to real time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka) Experience with Agile development concepts and related tools (ADO, Aha)
- Experience conducting root cause analysis and solve issues
- Experience with performance tuning
- Excellent written and verbal communication skills .Ability to operate in a matrixed organization and fast-paced environment
- Strong interpersonal skills with a can-do attitude under challenging circumstances
- Bachelor's degree in computer science is strongly preferred

Qualifications

- At least 5+ years' experience as a data engineer
- Expertise with SQL, stored procedures, UDFs
- Advanced level Python programming or Advanced Core Java programming.
- Experience with Snowflake or similar cloud native databases
- Experience with orchestration tools, especially Airflow Experience with declarative transformation tools like dbt
- Experience in Azure services, especially ADLS (or equivalent)
- Exposure to real time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka)
- Experience with Agile development concepts and related tools (ADO, Aha)
- Experience conducting root cause analysis and solve issues
- Experience with performance tuning
- Excellent written and verbal communication skills.
- Ability to operate in a matrixed organization and fast-paced environment
- Strong interpersonal skills with a can-do attitude under challenging circumstances
- Bachelor's degree in computer science is strongly preferred

Responsibilities

- Actively participate in chapter ceremony meetings and contribute to project planning and estimation.
- Coordinate work with product managers, data owners, platform teams, and other stakeholders throughout the SDLC cycle.
- Use Airflow, Python, Snowflake, dbt, and related technologies to enhance and maintain EDP acquisition, ingestion, processing, orchestration and DQ frameworks.
- Adopt new tools and technologies to enhance framework capabilities.
- Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle.
- Document and present accomplishments and challenges to internal and external stakeholders.
- Demonstrate deep understanding of modern data engineering tools and best practices.
- Design and build solutions which are performant, consistent, and scalable.
- Contribute to design decisions for complex systems.
- Provide L2 / L3 support for technical and/or operational issues.

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