Senior Data Engineer: Azure, Databricks & Snowflake

PwC

Dallas (TX)

On-site

USD 77,000 - 214,000

Full time

14 days+
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Benefits offered by this job

Annual bonus
Comprehensive benefits

Job summary

PwC in Dallas seeks a Tax Innovation - Data Engineer Senior Associate to turn raw data into insights, building data infrastructure and pipelines for tax analytics. You will design data architectures, leverage Azure Data Factory, Databricks, and Snowflake, and deliver secure, scalable data solutions for client needs.

Ideal candidates have a Bachelor's degree and 3+ years of experience with data modeling, pipelines, governance, and security best practices in a fast-paced environment.

Qualifications

  • Bachelor's degree required
  • 3+ years of experience required
  • Experience with data pipelines and data warehousing preferred
  • Experience with Azure Data Factory and Databricks preferred

Responsibilities

  • Designing and building data infrastructure for efficient processing
  • Implementing data pipelines, integration, and transformations
  • Utilizing Azure Data Factory and Databricks for data engineering tasks
  • Developing data architecture and modeling strategies
  • Maintaining data lakes and warehouses (Snowflake)
  • Ensuring data security and governance practices
  • Collaborating with clients to deliver tailored data solutions
  • Performing performance tuning and query optimization

Skills

Azure Data Factory
Databricks
Data modeling
Data pipelines
Data architecture
Database security
Snowflake
Data governance
Analytical thinking

Education

Bachelor's degree

Tools

Azure Data Factory
Databricks
Snowflake

Job description

PwC in Dallas seeks a Tax Innovation - Data Engineer Senior Associate to turn raw data into insights, building data infrastructure and pipelines for tax analytics. You will design data architectures, leverage Azure Data Factory, Databricks, and Snowflake, and deliver secure, scalable data solutions for client needs.

Ideal candidates have a Bachelor's degree and 3+ years of experience with data modeling, pipelines, governance, and security best practices in a fast-paced environment.

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