Lead Data Engineer - Python

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Data Lead (Python)

Las Vegas, NV

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth.

• Data Strategy & Governance:
  Define and implement data governance, policies, and best practices to ensure data quality, security, and compliance.
• Data Architecture:
  Design and oversee the implementation of scalable and robust data architectures, including data lakes, warehouses, and pipelines.
• Data Engineering:
  Lead the development, optimization, and maintenance of ETL/ELT processes to ensure efficient data ingestion, transformation, and storage.
• Analytics & Insights:
  Work closely with data analysts and scientists to support analytics initiatives, ensuring accurate and timely data availability.
• Collaboration:
  
  Partner with engineering, product, and business teams to understand data needs and provide strategic solutions.
• Technology Stack:
  Evaluate and recommend modern data technologies, tools, and frameworks to optimize data workflows.
• Team Leadership:
  Mentor and lead a team of data engineers, analysts, and scientists, fostering a culture of innovation and excellence.

• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience in data engineering, data management, or a related role.
• Expertise in SQL, No
  
  SQL databases, and big data technologies such as Hadoop, Spark, or Kafka.
• Hands‑on experience with cloud platforms (AWS, Azure, Google Cloud Platform) and related data services.
• Strong understanding of ETL/ELT pipelines, data warehousing (Snowflake, Redshift, Big Query), and data modeling.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data governance, security, and regulatory compliance (GDPR, HIPAA, etc.).
• Strong analytical, problem‑solving, and leadership skills.
• Excellent communication and stakeholder management abilities.
• Experience in Postgre
  
  SQL and Data Modelling