Senior Data Engineer: GenAI, Big Data & Cloud - Hybrid

Visa

Austin (TX)

Hybrid

USD 140,000 - 170,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary
Annual performance bonus
Healthcare insurance
Hybrid work model
Generous PTO
Conference attendance

Job summary

Visa in Austin is seeking a Senior Data Engineer to join a growing data platform team. You will design and maintain robust data pipelines and infrastructure to enable advanced analytics and ML initiatives, collaborating with data scientists, analysts, and engineers.

The role emphasizes scalable ETL/ELT processes, data warehouses and lakes, data quality, and performance optimization. Candidates should have 5+ years in data engineering, strong SQL, Spark/Hadoop, and cloud experience

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of data engineering or related experience
  • Strong SQL and experience with Spark or Hadoop
  • Experience with cloud data platforms (AWS, Azure, or GCP)
  • Proficiency in Python or Scala and data warehousing concepts

Responsibilities

  • Design, build, and optimize scalable ETL/ELT pipelines for large data volumes
  • Develop and maintain data warehouses and data lakes
  • Implement data quality checks and monitoring for data integrity
  • Collaborate with data scientists, analysts, and software engineers
  • Manage and optimize data platform performance
  • Stay current with emerging big data technologies and methodologies

Skills

SQL proficiency
Data warehousing concepts
Dimensional modeling
Python/Scala programming

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Apache Spark
Hadoop
AWS
Azure
GCP
Redshift
S3
EMR
BigQuery
Dataflow
Python
Scala

Job description

Visa in Austin is seeking a Senior Data Engineer to join a growing data platform team. You will design and maintain robust data pipelines and infrastructure to enable advanced analytics and ML initiatives, collaborating with data scientists, analysts, and engineers.

The role emphasizes scalable ETL/ELT processes, data warehouses and lakes, data quality, and performance optimization. Candidates should have 5+ years in data engineering, strong SQL, Spark/Hadoop, and cloud experience

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