What are the responsibilities and job description for the Data Engineer position at Trianz?
Job Title: Data Engineer
Type: Contract: 6 Months
Location: Boston,MA
And who better than you to join the Trianz family?
At Trianz, we offer you an open and learning-oriented culture essential to emerge as a leader. Completely focused on the Digital Evolution philosophy and phenomenon, we view delivering our value proposition consistently as a non-negotiable commitment. Our enablers include Intelligent Team Formations, a Client-Centric Approach, Predictability in Execution, and establishing a Unique Relationship Experience. A culture of innovation, encouraging our people to create, and belief in the importance of training and development set us apart.
About the Role
Our ideal Data Engineer is someone who is passionate about data. You enjoy building data projects from the ground up and are equally comfortable working with business partners to understand requirements as you are developing and delivering robust solutions that meet the highest standards.
Learning new technologies and working in the cloud excite you. You are team oriented and a strong communicator.
Objectives of the role
- Design, build and maintain complex ELT jobs that deliver business value
- Translate high-level business requirements into technical specs
- Ingest data from disparate sources into the data lake and data warehouse
- Cleanse and enrich data and apply adequate data quality controls
- Provide insight and direction to guide the future development of MassMutual’s data platform
- Develop re-usable tools to help streamline the delivery of new projects
- Collaborate closely with other developers and provide mentorship
- Evaluate and recommend tools, technologies, processes and reference architectures
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements
Basic Qualifications
- Bachelor’s degree in computer science, engineering or a related field
- Data: 8 years of experience with data analytics and warehousing
- SQL: Deep knowledge of SQL and query optimization
- ELT: Good understanding of ELT methodologies and tools
- Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues
- Communication: Excellent communication, problem solving and organizational and analytical skills
- Able to work independently and to provide leadership to small teams of developers.
Preferred Qualifications
- Master’s degree in computer science or engineering or a related field
- Cloud: Experience working in a cloud environment (e.g. AWS)
- Python: Hands on experience developing with Python
- Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka
- Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow)
- Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)
About Trianz
Trianz simplifies digital evolutions through effective strategies and excellence in execution. Collaborating with business and technology leaders, we help formulate and execute operational strategies to achieve intended business outcomes by bringing the best of consulting, technology experiences and execution models. Powered by knowledge, research, and perspectives, we enable clients to transition to a digital enterprise by leveraging Cloud, Analytics, Digital, Infrastructure and Security paradigms. With offices in Silicon Valley, Washington DC Metro, Rosemont, Chicago, Austin, Boston, Denver, Irvine, Raleigh, San Francisco, Seattle, New York, Dubai, Bengaluru, Hyderabad and Chennai, we serve Fortune 1000 and emerging organizations across industries globally. For more information, visit www.trianz.com.
Trianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law)