Senior Engineer, Data Sourcing & Solutions

What will your essential responsibilities include

• Exploring and acquiring new sources of data. Using curiosity and creativity, this would involve using technology to automate data acquisition, ability to link new sources with internal data, and appropriate level of supporting documentation of the source and technical solution.
• Providing the right context of data required for a given analysis. This would require the candidate to work with data modelers/analysts to understand the business problems they are trying to solve and create data structures to feed into their analysis.
• Build upon learnings of internal and external data to become more proactive. This includes thinking ahead of what modelers will anticipate with their data needs and designing structures that are intuitive to use.
• Ensuring quality and understanding of analytical data. This would require hands-on data experience to look into data issues and seek to resolution or acceptance. Create the appropriate amount of documentation, leverage standards, and build upon them. Data should be reconciled and documented at various stages for integrity.
• Participate in developing governance and rigor of data management practice within the Data Sourcing & Solutions Team. This will also include partnering with enterprise IT groups and involvement in enterprise data related functions.

We're looking for someone who has these abilities and skills:

Required Skills and Abilities:

• Relevant years of Data & Analytics work experience.
• Sound understanding/experience of Python, Databricks, PySpark, Spark SQL and best practices.
• Outstanding SQL Skills required.
• Expertise in Star Schema data modelling.
• Expertise in the design, creation and management of large datasets/data models.
• Experience working on building/optimizing logical data models and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs.
• Data development experience using data development / analysis tools.
• Data Engineering and Insurance background preferred.
• Development experience using R (Data structures, Plumber, Shiny) a plus.
• Ability to work with business owners to define key business requirements and convert to technical specifications.
• Demonstrated ability to work through data complexities which includes variety of sources, formats, and structures.
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.

Desired Skills and Abilities:

• Preference of experience in Insurance domain.
• Ability to see through ambiguous concepts, breakdown complex problems into manageable components.
• Detail-oriented, proven ability to recognize patterns in data.
• Possesses natural curiosity. Seek to understand the world around you, question when appropriate.

Education

• UG:

  B.Tech/B.E. in Any Specialization

• PG:

  Any Postgraduate