Advanced Data Engineering

Job Description:

In your role, you will participate together with the other Data Engineers in solution design discussions led by our product architect, where your knowledge and input will be highly valued. You will collaboratively work with IT and business SMEs to ensure delivery of high-quality end-to-end data pipelines.

Responsibilities:

Your responsibilities:

• You will be developing, testing, and documenting the data (collection and processing) pipelines for Predictive Maintenance solutions. The data collection consists of (complex) data pipelines from (IoT) sensors and low/high level control components to our data platform. When the data is in the cloud, it must be processed and made available as data products to our data scientists.
• Align implementation efforts with other back-end developers across multiple development teams.
• You will develop scalable data pipelines to transform and aggregate data for business use, following software engineering best practices. For these data pipelines you will make use of the best frameworks available for data processing like Spark. We are continuously improving on the solutions we use and encourage you to keep challenging the status quo.
• You develop our data services for customer sites towards a product, using (test & deployment) automation, componentization, templates, and standardization to reduce delivery time of our projects for customers. The product provides insights into the performance of our material handling systems at customers all around the globe.
• You will contribute to the design, build, and improve a CI/CD pipeline, including (integration) test automation for data pipelines. In this process you strive for an ever-increasing degree of automation.

Qualifications:

• Minimum 5 years' experience with building complex data pipelines and data solutions.
• Bachelor's or Master's degree in Computer Science, IT, or equivalent.
• Hands-on experience with data modeling
• Hands-on experience with programming in Java and Scala (python is a plus).
• Hands-on experience with Streaming processing (e.g., Spark) and Streaming and/or batch storage (e.g. Kafka, Oracle)
• Experience in building APIs
• Experience in data engineering using DevOps principles
• Experience in building highly performant and secure data pipelines
• Data Schema's (e.g., JSON/XML/Avro)
• Storage formats (e.g., Azure Blob, SQL, NoSQL)
• Deploying services as containers (e.g., Docker)
• Knowledge and experience with MLOps (E2E Data and Machine Learning Pipelines)
• Working with cloud services (preferably with Azure and Databricks)
• Experience in data quality management and monitoring is a plus.
• Experience with Predictive Maintenance model development is a plus.
• You are fluent in English.

About Us:

At Zensar, we're "experience-led everything". We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.