Morgan Stanley Recruitment Drive; Hiring Associate Data Engineer – Apply Now

Associate Data Engineer Job Openings in Bangalore 2025!!!

Morgan Stanley has announced a job vacancy for the role of Associate Data Engineer. The place of posting will be Bangalore. Candidates who have completed Graduate / Engineering / Post Graduate programs with Fresher or Experience backgrounds are eligible to apply. More information regarding qualifications, job description, and roles & responsibilities is provided below.

Company Overview

Name of the Company	Morgan Stanley
Required Qualifications	Graduate / Post Graduate
Skills	Apache Hadoop / Apache Spark / Unix Shell scripting / Python / SQL
Category	Data and Analytics
Work Type	Onsite

This position is for a Big Data Engineer within the Morgan Stanley Wealth Management – Framework CoE team at the Mumbai or Bengaluru offices. The CoE team is responsible for defining and governing enterprise data platforms, ensuring scalable and secure solutions supported by cloud data engineering services that enhance platform reliability. They are seeking professionals with a strong sense of ownership and the ability to drive innovative solutions. The role involves automating existing processes, introducing new ideas, coding, participating in architecture discussions, and performing code reviews and testing. The ideal candidate will have a passion for building robust systems, contributing to big data pipeline optimization, and leveraging distributed data processing frameworks to support mission-critical analytics. Candidates should be self-motivated team players capable of working independently with minimal supervision.

Job Details

Θ Positions: Associate Data Engineer

Θ Job Location: Bangalore

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: PT-JR024702

Roles and Responsibilities:

• Design and develop new automation frameworks for ETL processing.
• Support the existing framework and act as the technical point of contact for related teams.
• Enhance the current ETL automation framework based on user requirements.
• Perform performance tuning of Spark and Snowflake ETL jobs.
• Conduct POCs and suitability analysis for cloud migration.
• Drive process optimization through automation and utility development.
• Collaborate on new features and troubleshoot issues.
• Support batch-related issues.
• Assist application teams by addressing technical queries.

Required Skills

• Strong knowledge of UNIX Shell and Python scripting.
• Expertise in Spark.
• Strong SQL knowledge.
• Hands-on understanding of HDFS, Hive, Impala, and Spark operations.
• Strong logical reasoning and problem-solving capability.
• Working knowledge of GitHub, DevOps, CICD, and enterprise code-management tools.
• Excellent collaboration, communication, and teamwork skills.
• Ability to create a positive environment of shared success.
• Strong ability to prioritize, execute tasks, and resolve issues independently.
• Good to have: Experience with Snowflake and any data integration tool such as Informatica Cloud.

Primary Skills:

• Apache Hadoop
• Apache Spark
• Unix Shell scripting
• Python
• SQL

Good to Have Skills:

• Snowflake / Azure / AWS (any cloud)
• IDMC / Any ETL Tool

How to Apply

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Disclaimer:

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