Data Engineering- Contract

Weybridge, England, gb

  • Good technology exposure
  • Growth opportunity

    • About Our Client

    Our client is an insurance company. They are a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services they provide consumers control over their financial wellbeing at every stage of their lives.

    Job Description

    Responsibilities :

  • Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.
  • Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
  • Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
  • Understanding existing data applications and infrastructure architecture
  • Build and support new data feeds for various Data Management layers and Data Lakes
  • Evaluate business needs and requirements
  • Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.
  • Ability to write oracle sql, PLSQL scripts and should have demonstrated working experience in managing the oracle scripts.
  • Should have a good hands on with linux scriptings.
  • Able to document the processes and steps.
  • Develop and maintain datasets.
  • Improve data quality and efficiency.
  • Lead Business requirements and deliver accordingly.
  • Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.
  • Collaborate with DevOps Engineer to improve system deployment and monitoring process.



    • Soft Skills

  • Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
  • Ability to work in a dynamic, agile environment within a geographically distributed team.
  • Ability to focus on promptly addressing customer needs.
  • Ability to work within a diverse and inclusive team.
  • Technically curious, self-motivated, versatile and solution oriented.

    • The Successful Applicant

    Required Qualifications :

  • Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
  • Atleast 3 years of strong data warehousing experience using RDBMS and Non-RDBMS databases.
  • Atleast 3 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered).
  • Professional experience working in an agile, dynamic and customer facing environment is required.
  • Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
  • Understanding of data streaming and scalable data processing is preferred to have.
  • Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.
  • Atleast 2 years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.
  • Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.
  • Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.
  • Technical expertise with data models, data mining and segmentation techniques.
  • Experience with full SDLC lifecycle and Lean or Agile development methodologies.
  • Knowledge of CI/CD and GIT Deployments.
  • Ability to work in team in diverse/ multiple stakeholder environment.
  • Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

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