Data Engineer_Director_Data & Analytics Engineering

Morgan Stanley · Bengaluru · 4+ yrs experience · Posted 2026-07-01

Tech stack: Python, REST API, SQL

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About the role

Responsibilities:
- Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
- Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
- Identify and optimize new/existing data workflows.
- Identify and implement data integrity practices.
- Integrate data governance and data science tools with Snowflake ecosystem as per practice.
- Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
- Collaborate with team members to design and implement effective data workflows and transformations.
- Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
- Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
- Participate in code reviews and provide constructive feedback to improve team deliverables quality
- Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
- Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
- Design, implement data distribution layer using Snowflake REST API.
Qualifications:
- At least 4 years’ relevant experience would generally be expected to find the skills required for this role
- Experience in data analysis, data objects development and modeling in Snowflake data store.
- Snowflake REST API experience
- Informatica ETL and Talend ETL experience.
- Efficient SQL queries development and Python scripts development experience.
- Proven ability to work in distributed systems
- Proficiency with relational databases (such as DB2, SQL) querying and focus on data transformations.
- Excellent problem-solving skills and team-oriented mindset
- Strong data modelling concepts and schema design on relational data store and on cloud data store.
- Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
- Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
- Collaborating with data scientists/experts to integrate machine learning models into Snowflake

Qualifications

- At least 4 years’ relevant experience would generally be expected to find the skills required for this role
- Experience in data analysis, data objects development and modeling in Snowflake data store.
- Snowflake REST API experience
- Informatica ETL and Talend ETL experience.
- Efficient SQL queries development and Python scripts development experience.
- Proven ability to work in distributed systems
- Proficiency with relational databases (such as DB2, SQL) querying and focus on data transformations.
- Excellent problem-solving skills and team-oriented mindset
- Strong data modelling concepts and schema design on relational data store and on cloud data store.
- Strong communication skills both verbal and written.
- Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
- Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
- Collaborating with data scientists/experts to integrate machine learning models into Snowflake

Responsibilities

- Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
- Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
- Identify and optimize new/existing data workflows.
- Identify and implement data integrity practices.
- Integrate data governance and data science tools with Snowflake ecosystem as per practice.
- Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
- Collaborate with team members to design and implement effective data workflows and transformations.
- Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
- Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
- Participate in code reviews and provide constructive feedback to improve team deliverables quality
- Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
- Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
- Design, implement data distribution layer using Snowflake REST API.

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