Data EngineerMastech Digital • Denver, CO, United States

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Data Engineer

Mastech Digital • Denver, CO, United States

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Direct message the job poster from Mastech Digital

Leading IT Recruitment expert driving Quality Assurance at Mastech Digital I MBA

Candidates must be W2 only.
We are open to any location from following, hybrid basis : Montvale / Orlando / Atlanta / Denver (In-person 2nd interview at any of these locations)
Client needs someone who will support a large data ecosystem, working in Azure cloud development.
Need someone who has strong experience with MS Fabric including semantics, notebooks (codes written in python). Data extraction experience and integration with Data warehouse.
Azure Synapse Analytics exp needed. Should have experience using doc intelligence. Will prefer someone who knows Gen AI ( connecting large datasets to Gen AI). Spark exp is required to build large datasets.
This is hands on role. Need 2 days hybrid in Montvale, NJ; Denver, CO; Orlando, FL and Atlanta, GA
Financial / Tax industry is preferred but not mandatory.
High possibility for extension.

Responsibilities :

Collaborate with stakeholders to understand data requirements and translate them into technical solutions

Design, develop, and maintain data pipelines and ETL processes

Implement data integration and transformation solutions to ensure data quality and consistency

Optimize data storage and retrieval for performance and scalability

Monitor and troubleshoot data pipelines and systems to ensure data availability and reliability

Implement and maintain data governance and security measures

Stay up-to-date with emerging data engineering technologies and best practices

Act with integrity, professionalism, and personal responsibility to uphold the firms respectful and courteous work environment.

Qualifications :

Bachelor's degree in Computer Science, Information Systems, or a related field

Proven experience as a Data Engineer or in a similar role

Strong programming skills in languages such as Python, Java, or Scala

Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend

Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle)

Familiarity with cloud platforms and services (e.g., AWS, Azure, or GCP)

Knowledge of data modeling and database design principles

Strong analytical and problem-solving skills

Effective communication and collaboration skills

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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