Data Engineer - MassMutual
Boston, MA
About the Job
The Opportunity
At MassMutual, we are dedicated to empowering millions of individuals to achieve financial independence, a commitment that fuels our journey to create highly interactive digital experiences for our customers. As part of our Data Platform Data Engineering team, we are seeking Data Engineers who are enthusiastic about utilizing data to drive impactful business outcomes.
The Team
Our team is composed of skilled data engineers, data analysts, data architects and other technical professionals who share core competencies such as teamwork, innovation, and dedication to quality. We are motivated by the challenges of transforming complex data into actionable insights and are committed to a culture of growth and continuous improvement. Our team's unique story is one of rapid growth and evolving capabilities in the dynamic field of data engineering.
The Impact
+ Design, build, and maintain complex ELT jobs that deliver tangible business value.
+ Translate high-level business requirements into detailed technical specifications.
+ Ingest and integrate data from diverse sources into our comprehensive data lake and warehouse.
+ Enhance data quality through thorough cleansing and enrichment processes.
+ Provide strategic insights to guide the future development of MassMutual’s data platforms.
+ Develop and refine tools to streamline project delivery, enhancing efficiency and effectiveness.
+ Collaborate closely with peers, offering mentorship and fostering a knowledge-sharing environment.
+ Continuously evaluate and advocate for advanced tools, technologies, and processes that drive industry best practices.
+ Actively participate in our Agile development processes, contributing to team meetings and delivering incremental improvements.
The Minimum Qualifications
+ Bachelor’s degree in Computer Science, Engineering, or a related field.
+ 5+ years of Data engineering experience in data analytics and data warehousing. Proven experience building complex data pipelines, services etc.
+ 5+ years working with Data and relevant computation frameworks and system
+ 5+ years using Python programming language
+ 5+ years experience in writing SQL and query optimization, with proven experience in constructing data warehousing ETL pipelines.
+ 5+ years of experience with AWS Stack (S3, EC2, Kubernetes, Terraform, etc.)
+ 3+ years experience with Docker
The Ideal Qualifications
Beyond the minimum qualifications, the ideal candidate will also possess the following additional qualifications
+ Master’s degree in Computer Science, Engineering, or related fields.
+ Cloud Technologies: Proven experience in a cloud computing environment, preferably AWS.
+ Python: Practical development and data analysis experience using Python.
+ Advanced Data Processing: Knowledge in using data processing technologies such as Apache Spark or Kafka.
+ Workflow Management: Familiarity with orchestration and scheduling tools like Apache Airflow.
+ Reporting: Experience with data reporting and visualization tools (e.g., MicroStrategy, Tableau, Looker) and data cataloging tools (e.g., Alation).
+ Experience with Agile data engineering principles and methodologies
+ Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies
+ Strong understanding of ELT methodologies and tools.
+ Familiarity with Informatica IDMC is preferred.
+ Experience in data warehousing and familiarity with data warehousing concepts and terminologies.
+ Capable of troubleshooting and conducting root cause analysis to address and resolve issues effectively.
+ Communication: Outstanding communication skills, coupled with strong problem-solving, organizational, and analytical abilities.
+ Leadership: Ability to work independently and lead small developer teams.
What to Expect as Part of MassMutual and the Team
+ Regular collaboration with the Data Platform Data Engineering team.
+ Focused one-on-one time with your manager to support your development.
+ Access to mentorship opportunities within and outside the team.
+ Networking opportunities including access to diverse Business Resource Groups.
+ Engage with learning content on Degreed and other platforms to enhance your skills.
+ Your ethical values will be appreciated in a company known for its strong ethical standards, offering industry-leading pay and benefits.
#LI-RK1
MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
Salary Range: $113,100.00-$148,400.00
At MassMutual, we are dedicated to empowering millions of individuals to achieve financial independence, a commitment that fuels our journey to create highly interactive digital experiences for our customers. As part of our Data Platform Data Engineering team, we are seeking Data Engineers who are enthusiastic about utilizing data to drive impactful business outcomes.
The Team
Our team is composed of skilled data engineers, data analysts, data architects and other technical professionals who share core competencies such as teamwork, innovation, and dedication to quality. We are motivated by the challenges of transforming complex data into actionable insights and are committed to a culture of growth and continuous improvement. Our team's unique story is one of rapid growth and evolving capabilities in the dynamic field of data engineering.
The Impact
+ Design, build, and maintain complex ELT jobs that deliver tangible business value.
+ Translate high-level business requirements into detailed technical specifications.
+ Ingest and integrate data from diverse sources into our comprehensive data lake and warehouse.
+ Enhance data quality through thorough cleansing and enrichment processes.
+ Provide strategic insights to guide the future development of MassMutual’s data platforms.
+ Develop and refine tools to streamline project delivery, enhancing efficiency and effectiveness.
+ Collaborate closely with peers, offering mentorship and fostering a knowledge-sharing environment.
+ Continuously evaluate and advocate for advanced tools, technologies, and processes that drive industry best practices.
+ Actively participate in our Agile development processes, contributing to team meetings and delivering incremental improvements.
The Minimum Qualifications
+ Bachelor’s degree in Computer Science, Engineering, or a related field.
+ 5+ years of Data engineering experience in data analytics and data warehousing. Proven experience building complex data pipelines, services etc.
+ 5+ years working with Data and relevant computation frameworks and system
+ 5+ years using Python programming language
+ 5+ years experience in writing SQL and query optimization, with proven experience in constructing data warehousing ETL pipelines.
+ 5+ years of experience with AWS Stack (S3, EC2, Kubernetes, Terraform, etc.)
+ 3+ years experience with Docker
The Ideal Qualifications
Beyond the minimum qualifications, the ideal candidate will also possess the following additional qualifications
+ Master’s degree in Computer Science, Engineering, or related fields.
+ Cloud Technologies: Proven experience in a cloud computing environment, preferably AWS.
+ Python: Practical development and data analysis experience using Python.
+ Advanced Data Processing: Knowledge in using data processing technologies such as Apache Spark or Kafka.
+ Workflow Management: Familiarity with orchestration and scheduling tools like Apache Airflow.
+ Reporting: Experience with data reporting and visualization tools (e.g., MicroStrategy, Tableau, Looker) and data cataloging tools (e.g., Alation).
+ Experience with Agile data engineering principles and methodologies
+ Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies
+ Strong understanding of ELT methodologies and tools.
+ Familiarity with Informatica IDMC is preferred.
+ Experience in data warehousing and familiarity with data warehousing concepts and terminologies.
+ Capable of troubleshooting and conducting root cause analysis to address and resolve issues effectively.
+ Communication: Outstanding communication skills, coupled with strong problem-solving, organizational, and analytical abilities.
+ Leadership: Ability to work independently and lead small developer teams.
What to Expect as Part of MassMutual and the Team
+ Regular collaboration with the Data Platform Data Engineering team.
+ Focused one-on-one time with your manager to support your development.
+ Access to mentorship opportunities within and outside the team.
+ Networking opportunities including access to diverse Business Resource Groups.
+ Engage with learning content on Degreed and other platforms to enhance your skills.
+ Your ethical values will be appreciated in a company known for its strong ethical standards, offering industry-leading pay and benefits.
#LI-RK1
MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
Salary Range: $113,100.00-$148,400.00
Source : MassMutual