Overview
Remote
On Site
USD 85,000.00 - 145,000.00 per year
Full Time
Skills
Generative Artificial Intelligence (AI)
Productivity
Innovation
Data management
Data engineering
Customer service
Emerging technologies
Operations
Analytics
Production management
Data Analysis
Business intelligence
Batch processing
Migration
FOCUS
SLA
Core Data
Root cause analysis
Collaboration
Design
Transformation
Business requirements
Solaris
Process improvement
Auditing
Incident management
Problem management
Application Support
Privacy
Disaster recovery
Documentation
User guides
SAP BASIS
Database
Amazon S3
Teradata
Oracle
Data warehouse
DMS
Amazon Redshift
Amazon Web Services
Datastage
IBM InfoSphere DataStage
Unix
PySpark
Data
New Relic
Job scheduling
ESP
Technical Support
Big data
Relational databases
Dimensional modeling
SQL
Extract
transform
load
Informatica
Cloud computing
Change management
Multitasking
Problem solving
Leadership
Communication
Production support
Apache Hadoop
Apache Spark
Apache Hive
Scripting
Shell scripting
Python
Perl
JavaScript
Job Details
Location Designation: Hybrid - 3 days per quarter
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.
Enterprise Data Management Organization is looking for Senior Data Engineering Production Support lead to support Data warehousing Platform on AWS Cloud. Looking for a Data Engineer with a passion for problem solving, Data Solutions, Customer Service and interest in emerging technologies around Data Warehouse and/or BI operations to support our Data Warehouse and Analytics platform both on Hadoop & AWS Cloud platform.
Our team currently supports the Transformation, Enrichment, and the timely delivery of Data Assets to business users and applications across the enterprise which is on Hadoop platform. Also, we are in the process of migrating data projects over to AWS Cloud Platform.
Role Overview:
In this role you will work with a production management team analyzing, troubleshooting, and resolving production issues around ETL and Data Analytics batch jobs on both Hadoop & newly introduced Cloud Platform. You will work with support analysts, ETL developers and Platform engineers to ensure the adequate operation of all components related to our Enterprise Data Warehouse and Business Intelligence batch processing.
What You'll Do:
Primary production support for applications that are migrating over to AWS Cloud and existing on Hadoop Platform.
Focus on processes around the availability, SLA and efficiency of our core data services, batch jobs and applications.
Troubleshoot, analyze and resolve complex production problems related to data, data file delivery, performance and server and application issues.
Ensure completion of root cause analysis and eliminate repeated incidents.
Solve problems related to the Core services systems and the buildout of automation to prevent problem recurrence
Collaborate with the Business Analysts and ETL development teams to resolve complex data design or transformation issues and provide solutions that meet business requirements.
Work flexible hours as required to achieve a global follow-the-sun support model.
Comply with, Identify and adopt operational best practices and process improvements within the following functional areas: Audit, Risk, Change Management, Incident Management, Problem Management, Tools and Application Support and Data Privacy and Protection.
Plan and Support Platform Upgrades, Disaster Recovery Exercises, etc.
Develop and maintain documentation, departmental technical procedures, and user guides.
Be willing to work non-standard business hours on an on-call basis in a 24x7x365 environment.
What You'll Bring:
5+ years of database technology experience in one of more platforms (Redshift, S3, Teradata, Oracle, Postgress)
5+ years Data Warehouse Experience (Dimensional Data Model)
3+ years of experience in AWS Technologies like Glue, Step Function, AWS DMS, Redshift, Cloud Watch etc.
3+ years of ETL experience in one of more platforms (AWS Data Pipeline, Datastage, Informatica IDMC)
3+ years of Scripting Experience like Unix, Python, Pyspark.
3+ years of experience on SQL working with large data sets.
3+ years of experience on Monitoring Tools like Cloud Watch, NewRelic
3+ years of Job Scheduling (Stonebranch, ESP)
3+ years of experience working with off-shore and geographical dispersed teams.
3+ years of application production support and/or systems support analysis experience.
2+ years of Big Data environment experience (Hadoop)..
2+ years of Cloud environment experience.
Desired Qualifications
Knowledge and understanding of relational databases, dimensional data model.
Solid SQL experience (Complex queries)
Solid ETL (Informatica) experience
Knowledge Cloud Operating Model
Knowledge of Incident and Change management processes.
Strong organizational, multi-tasking, and prioritizing skills
Advanced problem solving and technical troubleshooting capabilities
Experience supporting an enterprise-level environment
Ability to interact with all levels of an organization, Including Senior Leadership
Strong verbal, written, and interpersonal communication skills
4+ years of production support or administrative experience with Hadoop tools such as MapR, Yarn, Spark, and Hive
3 years of experience scripting in at least two of these languages: (Shell script, Python, Perl, JavaScript)
?
Pay Transparency
Salary Range: $85,000-$145,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site .
Our Diversity Promise
We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of .
?
Job Requisition ID: 90639
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.
Enterprise Data Management Organization is looking for Senior Data Engineering Production Support lead to support Data warehousing Platform on AWS Cloud. Looking for a Data Engineer with a passion for problem solving, Data Solutions, Customer Service and interest in emerging technologies around Data Warehouse and/or BI operations to support our Data Warehouse and Analytics platform both on Hadoop & AWS Cloud platform.
Our team currently supports the Transformation, Enrichment, and the timely delivery of Data Assets to business users and applications across the enterprise which is on Hadoop platform. Also, we are in the process of migrating data projects over to AWS Cloud Platform.
Role Overview:
In this role you will work with a production management team analyzing, troubleshooting, and resolving production issues around ETL and Data Analytics batch jobs on both Hadoop & newly introduced Cloud Platform. You will work with support analysts, ETL developers and Platform engineers to ensure the adequate operation of all components related to our Enterprise Data Warehouse and Business Intelligence batch processing.
What You'll Do:
Primary production support for applications that are migrating over to AWS Cloud and existing on Hadoop Platform.
Focus on processes around the availability, SLA and efficiency of our core data services, batch jobs and applications.
Troubleshoot, analyze and resolve complex production problems related to data, data file delivery, performance and server and application issues.
Ensure completion of root cause analysis and eliminate repeated incidents.
Solve problems related to the Core services systems and the buildout of automation to prevent problem recurrence
Collaborate with the Business Analysts and ETL development teams to resolve complex data design or transformation issues and provide solutions that meet business requirements.
Work flexible hours as required to achieve a global follow-the-sun support model.
Comply with, Identify and adopt operational best practices and process improvements within the following functional areas: Audit, Risk, Change Management, Incident Management, Problem Management, Tools and Application Support and Data Privacy and Protection.
Plan and Support Platform Upgrades, Disaster Recovery Exercises, etc.
Develop and maintain documentation, departmental technical procedures, and user guides.
Be willing to work non-standard business hours on an on-call basis in a 24x7x365 environment.
What You'll Bring:
5+ years of database technology experience in one of more platforms (Redshift, S3, Teradata, Oracle, Postgress)
5+ years Data Warehouse Experience (Dimensional Data Model)
3+ years of experience in AWS Technologies like Glue, Step Function, AWS DMS, Redshift, Cloud Watch etc.
3+ years of ETL experience in one of more platforms (AWS Data Pipeline, Datastage, Informatica IDMC)
3+ years of Scripting Experience like Unix, Python, Pyspark.
3+ years of experience on SQL working with large data sets.
3+ years of experience on Monitoring Tools like Cloud Watch, NewRelic
3+ years of Job Scheduling (Stonebranch, ESP)
3+ years of experience working with off-shore and geographical dispersed teams.
3+ years of application production support and/or systems support analysis experience.
2+ years of Big Data environment experience (Hadoop)..
2+ years of Cloud environment experience.
Desired Qualifications
Knowledge and understanding of relational databases, dimensional data model.
Solid SQL experience (Complex queries)
Solid ETL (Informatica) experience
Knowledge Cloud Operating Model
Knowledge of Incident and Change management processes.
Strong organizational, multi-tasking, and prioritizing skills
Advanced problem solving and technical troubleshooting capabilities
Experience supporting an enterprise-level environment
Ability to interact with all levels of an organization, Including Senior Leadership
Strong verbal, written, and interpersonal communication skills
4+ years of production support or administrative experience with Hadoop tools such as MapR, Yarn, Spark, and Hive
3 years of experience scripting in at least two of these languages: (Shell script, Python, Perl, JavaScript)
?
Pay Transparency
Salary Range: $85,000-$145,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site .
Our Diversity Promise
We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of .
?
Job Requisition ID: 90639
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.