Senior Associate, Data Engineer, Data Platforms

Ares Operations; Mumbai; Presencial; INR 1.200.000 - 2.000.000; Jornada completa

Descripción de la vacante

Ares Operations is seeking a senior data platform engineer to support and operate our enterprise Azure Databricks data platform. You will collaborate with global teams to ensure the platform remains secure, scalable, reliable, and optimized.

You will develop and maintain scalable data pipelines and ETL/ELT processes, build cloud-based data solutions, and contribute to architecture decisions for the data platform.

Formación

• 6–8+ years of hands-on data engineering in enterprise environments.
• Experience designing and deploying enterprise-scale data pipelines.
• Proficient in Python/SQL for transformation and testing.
• Experience with Azure Databricks, Delta Lake & Azure Data Factory.

Responsabilidades

• Hands-on engineering role responsible for supporting and operating the enterprise Azure and Databricks data platform.
• Collaborate with Data Platform Engineering, Data Ingestion & Integration, Data Engineering & Data Products, and Data Distribution Services teams to keep the platform secure, scalable, reliable, and optimized.
• Develop and maintain scalable data pipelines, ETL/ELT processes, and data integrations.
• Assist with building and optimizing cloud-based data solutions and enterprise data platforms.
• Work with global teams on design, architecture and build-out of the data platform.

Conocimientos

Data engineering experience

ETL/ELT fundamentals

Data modeling

Cloud data platforms

Herramientas

Azure Databricks

Delta Lake

PySpark

Python

SQL

Azure Data Factory

Descripción del empleo

Role & responsibilities

Hands-on engineering role responsible for supporting and operating the enterprise Azure and Databricks data platform.

This role works closely with Data Platform Engineering, Data Ingestion & Integration, Data Engineering & Data Products, and Data Distribution Services teams to ensure the platform remains secure, scalable, reliable, and optimized.

Develop and maintain scalable data pipelines, ETL/ELT processes, and data integrations

Assist with building and optimizing cloud-based data solutions and enterprise data platforms

Work closely with global teams on design, architecture and build out of data platform

Preferred candidate profile

• 6 to 8+ years of hands‑on data engineering, data solutions, or financial technology experience, ideally within financial services, asset management, accounting, investment operations, or another controlled enterprise data environment.
• Hands‑on experience designing, developing, deploying, and supporting enterprise‑scale data pipelines using Azure Databricks, PySpark, Delta Lake, Python, SQL, and Azure Data Factory, including both batch and streaming workloads.
• Hands‑on Databricks experience, including notebooks, workflows/jobs, Spark concepts, Delta Lake patterns, and production support.
• Python and/or PySpark for transformation, validation, automation, and testing.
• Strong ETL/ELT, data modeling, integration, and curated-data-layer experience.