Lead, Big Data Analytics & Engineering

Mastercard

Big data analytics and engineering
Data ingestion, aggregation, transformation
Scalable data pipelines
Lead the ingestion, aggregation, transformation, and processing of large scale data sets to enable advanced analytics, insights, and downstream consumption

Job Summary

  • Lead the ingestion, aggregation, transformation, and processing of large scale data sets to enable advanced analytics, insights, and downstream consumption.
  • Partner with Product Managers, Data Science, Platform Strategy, and Technology teams to understand data requirements and translate them into scalable engineering solutions.
  • Provide technical guidance and mentorship to other data engineers and analysts, setting standards for engineering quality, scalability, and maintainability.

Matching Summary

Lead the ingestion, aggregation, transformation, and processing of large scale data sets to enable advanced analytics, insights, and downstream consumption.

Skills & Requirements

Must-have

  • Big data analytics and engineering
  • Data ingestion, aggregation, transformation
  • Scalable data pipelines
  • Data unification initiatives
  • Hadoop and enterprise data platforms
  • Python, Pandas, NumPy, PySpark, Impala
  • SQL and distributed data stores

Nice-to-have

  • Graph databases experience
  • Cloud-based data platforms
  • CI/CD pipelines and DevOps practices
  • Collaborative, inclusive, customer centric mindset

Key Requirements

  • 8+ years of experience in data engineering, big data analytics, or enterprise data platforms
  • At least 2+ years in a technical leadership or lead role
  • Experience with cloud-based data platforms (Azure, AWS, or GCP)
  • Experience implementing CI/CD pipelines and DevOps practices

Work Rights

Not specified

Tailored Resume

Cover Letter