Inactive
Z

ZS

Global management consulting for sales optimization

Data Engineering Lead

Data EngineeringPosted on Sep 8
Full-timeToronto, ON, CanadaNo salary listedHybrid

About the Job

Requirements

  • A relevant bachelor's degree or higher in Computer Science, Data Science, or a related field.
  • 8–10+ years of data engineering experience, including a proven track record designing and implementing scalable, high-performance data systems.
  • Proficiency in SQL, Python, or other relevant programming languages.
  • Strong understanding of data warehousing concepts and cloud-based data platforms such as AWS, Azure, or GCP.
  • Expertise in designing and implementing ETL processes, data modeling, and database management.
  • Familiarity with big data technologies such as Hadoop, Spark, and Kafka, and with data integration tools.
  • Significant experience leading small teams of Data Engineers and fostering their professional growth.
  • Ability to travel to other offices or client locations as needed.
  • Fluency in English.

Responsibilities

  • Oversee the design and implementation of robust, scalable, and reliable data systems, ensuring high performance and alignment with business goals.
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data architecture and engineering solutions.
  • Develop and manage software processes that facilitate seamless data movement between data warehouses, data lakes, and other internal systems.
  • Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality data for various stakeholders.
  • Design and build data ingestion frameworks, data quality frameworks, and an integrated audit system.
  • Implement data quality assurance processes to identify and resolve data inconsistencies and issues.
  • Establish data governance practices to maintain data accuracy, integrity, and security.
  • Analyze data to derive meaningful insights that support data-driven decision-making.
  • Communicate findings and recommendations to stakeholders effectively.
  • Serve as a technical authority in data engineering and stay updated on industry trends and best practices.
  • Provide guidance and mentorship to junior Data Engineers, fostering their professional development.
  • Facilitate knowledge sharing, collaboration, and continuous improvement within the team.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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