AI Data Engineer

Tata Consultancy Services; Jersey City (NJ); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services in Jersey City seeks a senior data visualization engineer to design and deliver end-to-end reporting solutions using Power BI and Tableau. You will work with data virtualization, data mesh, and federated querying platforms to streamline analytics across large data sets.

You will optimize data pipelines, implement data governance basics in cloud environments, and leverage Snowflake and AWS data lakes to support scalable dashboards for business stakeholders.

Formación

• 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo or Starburst.
• 5+ Years of experience as Report Visualization Engineer with Power BI, Tableau, or similar Reporting Platforms with End-to-End delivery.
• 3+ Years of experience with implementation of Data Modelling, Data Governance and RLS.
• 3+ Years of experience with Enterprise Deployment Strategies and migration of legacy platform reports to modern reporting platforms.
• Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.

Conocimientos

Power BI

Tableau

Data visualization

End-to-End delivery

Herramientas

Denodo

Starburst

OSS data platforms

Snowflake

AWS data lakes

Descripción del empleo

• 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platform such as Denodo, Starburst or OSS platforms is highly desirable.
• 5+ Years of experience working as a Report Visualization Engineer with Power BI, Tableau, or any similar Reporting Platforms with End-to-End delivery.
• 3+ Year of experience with implementation of Data Modelling, Data Governance and RLS.
• 3+ Years of experience with Enterprise Deployment Strategies and migration of legacy platform reports to modern reporting platforms.
• Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
• Solid understanding of data modeling, database design, and ETL principles.
• Familiarity with data governance, data security, and compliance practices in cloud environments.
• Strong problem-solving skills and the ability to optimize and fine-tune data pipelines and Spark jobs for performance.
• Tableau/Power BI / Snowflake / Starburst certifications on Data related specialties are a plus.
• Power Platform experience (Power Apps, Power Automate) will be a plus