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Sr. Data Engineer or Data Architect

3 months ago

New York, United States Dexian Full time

Job Summary:

Dexian is seeking a Sr. Data Engineer or Data Architect for an opportunity with a client located in New York, NY.

Responsibilities:

  • Design and implement ETL processes for data transformation and preparation
  • Deploy machine learning models to production environments
  • Manage data pipelines for analytics and operational use
  • Ensure data accuracy and integrity across multiple sources and systems
  • Collaborate with data scientists to support NLP algorithms and analytics
  • Develop database solutions to store and retrieve company information
  • Install and configure information systems to ensure functionality
  • Analyze structural requirements for new software and applications
  • Migrate data from legacy systems to new solutions
  • Design conceptual and logical data models and flowcharts
  • Improve system performance by conducting tests, troubleshooting and integrating new elements
  • Optimize new and current database systems
  • Define security and backup procedures
  • Coordinate with the Data Science department to identify future needs and requirements
  • Provide operational support for Management Information Systems (MIS)



Requirements:

  • At least 7 years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries
  • 5+ years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use cases (e.g., from operational data store to semantic models)
  • 2 to 3 years of experience in modern data architecture that support advanced analytics including Snowflake on Azure
  • Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, or Business Management
  • Expert in engineering data pipelines using various data technologies - ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience
  • Hands on data warehouse design, development, and data modeling best practices for modern data architectures
  • Highly proficient in at least one of these programming languages: Java or Python
  • Experience with modern data modelling tools, data preparation tools
  • Experience with adding data lineage, technical glossary from data pipelines to data catalog tools
  • Highly proficient in Data analysis - analyzing SQL, Python scripts, ETL/ELT transformation scripts
  • Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required
  • Experience with StreamSets, DBT preferred
  • Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus
  • Self-driven individual with the ability to work independently or as part of a project team
  • Experience working in an Agile Environment is preferred
  • Familiarity with Retail domain preferred
  • Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.


Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.


Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.