Senior Associate, Data Engineer, Data Platforms

Mployee.me; Mumbai; Presencial; INR 2.800.000 - 4.000.000; Jornada completa

Descripción de la vacante

Mployee.me in Mumbai, India seeks a hands-on Data Engineer to support and operate our enterprise Azure and Databricks data platform. You will develop and maintain scalable data pipelines, ETL/ELT processes, and data integrations across teams.

You will collaborate with Data Platform Engineering, Ingestion & Integration, Data Engineering & Data Products, and Data Distribution Services to ensure security, scalability, reliability, and optimization of the platform.

Formación

• 6 to 8+ years hands-on data engineering experience within financial services or a controlled enterprise data environment.
• Hands-on experience designing and deploying enterprise-scale data pipelines using Azure Databricks, PySpark, Delta Lake, Python, SQL, and Azure Data Factory, including batch and streaming workloads.
• Hands-on Databricks experience including notebooks, workflows/jobs, Spark concepts, Delta Lake patterns, and production support.
• Proficient in Python and/or PySpark for transformation, validation, automation, and testing.
• Strong ETL/ELT, data modeling, integration, and curated-data-layer experience.

Responsabilidades

• 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.

Conocimientos

Data engineering experience

Problem solving

Cross-functional collaboration

Data quality

Herramientas

Azure Databricks

PySpark

Delta Lake

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.