Senior Associate - Data Engineer

Job Description Template

Job title

Senior Data Engineer (or equivalent)

Position Description

At MassMutual, we’re passionate about helping millions of people find financial freedom and this passion has driven our approach to developing highly interactive digital experiences for our customers. To help us achieve our mission, we are looking to hire senior data engineer for our Data Platform Data Engineering team.

What Great Looks Like In This Role

Our ideal Senior 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.

Provide a description of what the position does within your group/department

Department name

Data Platform

Supervisor

Location

Hyderabad

Key Responsibilities And Accountabilities

• Design, build and maintain complex ELT/ETL jobs that deliver business value.
• transform and load data from various sources including databases, APIs, and flat files using IICS or Python/SQL.
• Translate high-level business requirements into technical specs
• Conduct unit testing, integration testing, and system testing of data integration solutions to ensure accuracy and quality
• Ingest data from disparate sources into the data lake and data warehouse
• Cleanse and enrich data and apply adequate data quality controls
• Provide technical expertise and guidance to team members on Informatica IICS/IDMC and data engineering best practices to guide the future development of MassMutual’s Data Platform.
• Develop re-usable tools to help streamline the delivery of new projects
  
  

Knowledge, Skills And Abilities

Please refer ‘Education and Experience’

Education And Experience

• Bachelor’s degree in computer science, engineering, or a related field. Master’s degree preferred.
• Data: 5+ years of experience with data analytics and data warehousing. Sound knowledge of data warehousing concepts.
• SQL: 5+ years of hands-on experience on SQL and query optimization for data pipelines.
• ELT/ETL: 5+ years of experience in Informatica/ 3+ years of experience in IICS/IDMC
• Migration Experience: Experience Informatica on prem to IICS/IDMC migration
• Cloud: 5+ years’ experience working in AWS cloud environment
• Python: 5+ years of hands-on experience of development with Python
• Workflow: 4+ years of experience in orchestration and scheduling tools (e.g. Apache Airflow)
• Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka
• 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.
• Reporting: Experience with data reporting (e.g. MicroStrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)
• Experience in Design and Implementation of ETL solutions with effective design and optimized performance, ETL Development with industry standard recommendations for jobs recovery, fail over, logging, alerting mechanisms.
  
  

Specify the minimum acceptable level of education, experience, certifications necessary for the role

Application Requirements

No special requirements

Support Hours

India GCC – US (EST) hours overlap for 2-3 hours