Supply Chain Associate

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide.

ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

• Build, Orchestrate and optimize data pipelines to extract, transform, and load (ETL) data from various sources into the organization's data warehouse or data lake.
• Integrate data from diverse sources such as databases, APIs, streaming platforms, and file systems into cohesive data pipelines
• Implement data integration solutions that support real‑time, batch, and incremental data processing.
• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data.
• Develop and maintain high‑performance data pipelines that seamlessly integrate data from various sources into data warehouses, data lakes, and other storage solutions.
• Develop monitoring and alerting mechanisms to identify and address data quality issues proactively.
• Optimize ETL (Extract, Transform, Load) processes for efficiency, reliability, and data quality.
• Implement and manage data storage solutions, including relational databases, No
  
  SQL databases, and distributed file systems.
• Manage the infrastructure and resources required to support data engineering workflows, including compute clusters, storage systems, and data processing frameworks
• Write production‑ready, testable code that adheres to engineering best practices and accounts for edge cases and error handling.
• Ensure high‑quality deliverables through code reviews, design reviews, and adherence to architectural guidelines.
• Develop comprehensive unit tests and integration tests to validate data pipeline functionality and data integrity.
• Stay up to date with the latest data engineering tools, technologies, and methodologies, and evaluate their applicability to the team’s needs.
• Provide technical guidance and mentorship to junior engineers on the team.
• Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and translate them into robust engineering solutions.
• Work closely with other engineering teams to integrate data solutions seamlessly into the overall technology ecosystem.
• Participate actively in agile ceremonies, communicate progress, and manage dependencies effectively.

• 2+ years of experience in a data engineering role, with a focus on building scalable, reliable, and high‑performance data systems.
• A relevant bachelor's or master's degree in computer science, Data Engineering, or a related technical field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud‑based data platforms (e.g., AWS, Azure, GCP).
• Expertise in data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi).
• Proven track record of designing and implementing data pipelines, data storage solutions, and data processing workflows.
• Hands‑on experience with distributed computing frameworks and cloud‑based data services.
• Demonstrated ability to collaborate with cross‑functional teams and communicate technical solutions effectively.
• Ability to travel to other offices or client locations as needed.
• Strong communication skills
• Fluency in English
• Client‑first mentality
• Intense work ethic
• Collaborative spirit and problem‑solving approach

• Familiarity with CI/CD pipelines and application monitoring practices.
• Certifications in data engineering (e.g., Azure Data Engineer, AWS Certified Data…