USM
Start Date: Interview Types
Skills Python, Data Pipelin.. Visa Types H1B, Green Card, US ..
Job Title:
Data Engineer / Site Reliability Engineer (SRE)
Client:
Morgan Stanley
Location:
New York, NY (Onsite/Hybrid)
Experience Level:
5+ Year
Job Summary:
Morgan Stanley is seeking a highly skilled
Data Engineer / SRE
to join our team in New York. The ideal candidate will have strong expertise in
Python development, Snowflake, AWS, Jenkins, and DevOps practices . This role requires a blend of data engineering, automation, and site reliability engineering skills to support large-scale data platforms and ensure system resilience, performance, and scalability.
Key Responsibilities:
Design, build, and maintain scalable data pipelines and infrastructure using
Python, Snowflake, and AWS services . Implement automation, CI/CD, and infrastructure as code using
Jenkins, Git, and DevOps tools . Monitor, troubleshoot, and optimize data workflows to ensure
reliability and performance . Collaborate with development, cloud, and platform teams to improve system resilience and uptime. Manage and optimize
Snowflake data warehouse environments , ensuring security, governance, and efficiency. Develop observability solutions for monitoring, alerting, and incident response. Drive improvements in deployment processes, system monitoring, and reliability engineering best practices. Required Skills & Experience:
5+ years
of professional experience in Data Engineering / SRE roles. Strong programming skills in
Python
(data pipelines, automation, APIs). Hands-on experience with
Snowflake
(queries, optimization, ETL/ELT pipelines). Proficiency in
AWS cloud services
(S3, EC2, Lambda, Glue, Redshift or similar). Expertise in
CI/CD pipelines
with
Jenkins
and DevOps automation. Strong knowledge of
monitoring, logging, and alerting tools . Experience with containerization (Docker, Kubernetes) preferred. Excellent problem-solving, troubleshooting, and communication skills.
Job Title:
Data Engineer / Site Reliability Engineer (SRE)
Client:
Morgan Stanley
Location:
New York, NY (Onsite/Hybrid)
Experience Level:
5+ Year
Job Summary:
Morgan Stanley is seeking a highly skilled
Data Engineer / SRE
to join our team in New York. The ideal candidate will have strong expertise in
Python development, Snowflake, AWS, Jenkins, and DevOps practices . This role requires a blend of data engineering, automation, and site reliability engineering skills to support large-scale data platforms and ensure system resilience, performance, and scalability.
Key Responsibilities:
Design, build, and maintain scalable data pipelines and infrastructure using
Python, Snowflake, and AWS services . Implement automation, CI/CD, and infrastructure as code using
Jenkins, Git, and DevOps tools . Monitor, troubleshoot, and optimize data workflows to ensure
reliability and performance . Collaborate with development, cloud, and platform teams to improve system resilience and uptime. Manage and optimize
Snowflake data warehouse environments , ensuring security, governance, and efficiency. Develop observability solutions for monitoring, alerting, and incident response. Drive improvements in deployment processes, system monitoring, and reliability engineering best practices. Required Skills & Experience:
5+ years
of professional experience in Data Engineering / SRE roles. Strong programming skills in
Python
(data pipelines, automation, APIs). Hands-on experience with
Snowflake
(queries, optimization, ETL/ELT pipelines). Proficiency in
AWS cloud services
(S3, EC2, Lambda, Glue, Redshift or similar). Expertise in
CI/CD pipelines
with
Jenkins
and DevOps automation. Strong knowledge of
monitoring, logging, and alerting tools . Experience with containerization (Docker, Kubernetes) preferred. Excellent problem-solving, troubleshooting, and communication skills.