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MAPFRE Insurance Data Engineer in Webster, Massachusetts

Data Engineer

Date: Nov 12, 2024

Location:

Webster, MA, US

Company: MAPFRE

Job Summary

  • Augment and maintain the existing repositories and data structures within AWS (used to process and store large amounts of data from unrelated sources)

  • Experience with several formats and means for data ingestion. Including, data types (structured, semi-structured, and unstructured), and sources (on premise, and in the cloud) using the most appropriate techniques in each case

  • Continue to expand and enhance the model, utilizing best practices, in regards to the organization of data and the various relationships

  • Optimize existing and future models for fast and scalable queries (while maintaining performance and related price thresholds)

  • Work with the team to define, construct, and maintain self-service dashboards for the Business and Advanced Analytics teams within PowerBI

  • Implement scalable and flexible, high performance data pipelines for AWS to support analytics

  • Develop and maintain data maps and their relationships

  • Generate associated technical documentation including follow-up reports

  • Work with Data Governance to implement quality rules and data governance measures (data dictionary, metadata, traceability, ...)

  • Propose improvements and actions based on provided results

  • Communicate results effectively with required teams

Knowledge, Skills and Abilities:

  • Bachelor's Degree with 6+ years of experience.

  • Advanced knowledge and experience using Python, Airflow, Spark, AWS, and Snowflake

  • Database architectures: SQL, NoSQL, graph databases

  • CI/CD and Orchestration: Jira, Jenkins, Bit Bucket, Terraform, and Airflow

  • Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center)

  • Computer languages, data query and transformation tools: AWS Athena, Jupyter notebooks, Spark, Pyspark, Python, and EMR Studio

  • Algorithm analysis (for working with our Data Scientists)

  • Understanding of multidimensional modeling for quantitative and fact related data storage

  • OS: Linux, and MS Windows

  • Code IDE: Microsoft Visual Code, Jupyter notebooks

  • Artificial intelligence, machine learning, and deep learning are a plus

Nearest Major Market: Worcester

Job Segment: Data Modeler, Database, Engineer, Linux, SQL, Data, Technology, Engineering

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