Cloud Data Engineer

NTT DATA ServicesNashville, TN
$104,240 - $156,360Onsite

About The Position

NTT DATA is seeking a skilled Data Engineer to join our Data Village team. This role involves working on-site in Nashville or Plano as part of a dynamic team focused on delivering cutting-edge data solutions. The ideal candidate will have at least 5 years of experience in data engineering, with expertise in Databricks, Snowflake and AWS data services.

Requirements

  • At least 5 years of experience in data engineering.
  • Proficiency in Snowflake and Cloud data services.
  • 5+ years of experience working with cloud services.
  • 2+ years of experience working with Databricks or Snowflake.
  • 3+ years working with PySpark.
  • Strong knowledge of data warehousing concepts.
  • Advanced skills in Python or Java programming for data engineering and data pipelines.
  • Proficiency in integrating data from various sources.
  • Strong knowledge of data modeling, storage and design within Snowflake.
  • Experience in securing data based on role and policy definitions.
  • Experience in building and managing data pipelines.
  • Experience AWS, Azure, or GCP data services.
  • Proficiency in using GitHub for version control.
  • Ability to quickly learn new technologies by applying current skills.
  • Operate within a sprint model. Stories are assigned, developed, validated, and peer reviewed.
  • Each story typically involves: Writing and executing scripts. Validating results and capturing observations Documenting outcomes in Confluence Conducting peer reviews and merging code into Git branches
  • Present deliverables and findings to the architecture team for feedback and alignment.
  • Ability to adapt to new technologies quickly and efficiently.

Nice To Haves

  • Apache Iceberg file format
  • Databricks
  • Dremio
  • Spark
  • Financial data analysis, risk, and compliance data management.

Responsibilities

  • Utilize your ETL/Data Engineering expertise in Databricks, Snowflake and Cloud data services to build and maintain robust data solutions.
  • Lead the evaluation of various catalogs and query engines for the Data Lakehouse platform, documenting findings and reviewing them with the architecture teams.
  • Build and manage dozens of data pipelines to source and transform data based on business requirements.
  • Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers.
  • Leverage Databricks and Snowflake for data analysis and discovery, ensuring data is accessible and actionable.
  • Leverage 10+ sources of data to derive insights.
  • Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements.
  • Self-identify the need for new skills to be developed and adopt new technologies into your skill set in a month’s time.
  • Work closely with financial services clients to build modern data solutions that transform how they leverage data for key business decisions, investment portfolio performance analysis, and risk and compliance management.
  • Manage multiple stakeholder groups and their requirements.
  • Collaborate within a Pod of 4+ data engineers, working towards common objectives in a consultative fashion with clients.
  • Use Cloud native ETL services (i.e., AWS Glue or Snaplogic) and Python/SQL for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.
  • Work with a client that is leading the industry in using data to drive business decision optimization and investment management strategies.

Benefits

  • medical, dental, and vision insurance with an employer contribution
  • flexible spending or health savings account
  • life and AD&D insurance
  • short and long term disability coverage
  • paid time off
  • employee assistance
  • participation in a 401k program with company match
  • additional voluntary or legally-required benefits
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