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Sr. Analyst, Data Engineer - India

Nationwide
Hyderabad, IND
Full-time
Senior · 1–3 years experience
Onsite
Discovered 6 days ago

Full Job Posting

Key Responsibilities:

  • Provides technical consultation on data product projects by analyzing end-to-end data product requirements and existing business processes to assist in the design, development and implementation of data products.
  • Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
  • Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
  • Develops and maintains scalable data pipelines for both streaming and batch requirements.
  • Assists in building out new API integrations to support continuing increases in data volume and complexity.
  • Practices code management and integration with engineering Git principle and practice repositories.
  • May perform other responsibilities as assigned.
  • Qualifications & Experience:
  • Education: Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.
  • Education:
  • Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.

Experience:

  • One to three years of relevant experience with data quality rules, data management organization/standards, or practices. Experience with query languages, statistical software and data wrangling and provisioning tools. Experience analysing trends and patterns in structured and unstructured data to support business problem solving.
  • Amazon Web Services
  • Data Engineering
  • Data Management
  • Data Pipelines
  • Data Quality
  • Extract Transform Load (ETL)
  • Problem Solving
  • Programming Skills
  • Data application and practice knowledge
  • Effective communication skills
  • Ability to set priorities
  • Ability to work in agile and global environments
  • Other criteria, including leadership skills, competencies and experiences may take precedence
  • Reports to Technology or Data Leader – India
  • Aligned to India business hours with flexibility for global collaboration.
  • [Hybrid/Remote/In-office] with periodic in-office collaboration.

Technical Skills:

  • Amazon Web Services
  • Data Engineering
  • Data Management
  • Data Pipelines
  • Data Quality
  • Extract Transform Load (ETL)
  • Problem Solving
  • Programming Skills
  • Soft Skills & Attributes:
  • Data application and practice knowledge
  • Effective communication skills
  • Ability to set priorities
  • Ability to work in agile and global environments
  • Insurance/financial services industry knowledge a plus
  • Other criteria, including leadership skills, competencies and experiences may take precedence
  • Additional Information:
  • Reporting Structure:
  • Reports to Technology or Data Leader – India
  • Working Hours:
  • Aligned to India business hours with flexibility for global collaboration.
  • Location Flexibility:
  • [Hybrid/Remote/In-office] with periodic in-office collaboration.

Preferred Qualifications

  • Insurance/financial services industry knowledge a plus

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