Big Data Engineer at Dunnhumby Limited

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Apache Kafka, Apache Spark, Apache Airflow, Cloud Platforms, Python, Data Governance, Data Quality, API Design, Agile, DevOps, Hadoop, Data Architecture, Relational Database Management, Process Automation, Data Pipelines

Industry

technology;Information and Media

Description

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We’re looking for a Big Data Engineer who expects more from their career. It’s a chance to extend and improve dunnhumby’s Data Engineering Team It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our team, you’ll work with world class and passionate people which is part of Innovation Technology. You will be responsible for working with stakeholders in the development of data technology that meet the goals of the dunnhumby technology strategy and data principles. Additionally, this individual will be called upon to contribute to a growing list of dunnhumby data best practices. Key Responsibilities Build end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms. Build scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams. Automate data pipelines and processes end-to-end using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies. Develop intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability. Develop pipeline for real-time data processing. Implement data governance, metadata management, and data quality standards. Explore appropriate tools, platforms, and technologies aligned with organizational standards. Ensure security, compliance, and regulatory requirements are addressed in all data solutions. Evaluate and recommend improvements to existing data architecture and processes. Technical Expertise Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field. 3+ years of experience in data architecture, data engineering, or a related field. Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. Good experience of cloud platforms (Azure or Google Cloud), especially with cloud-native data services. Familiarity of API design and data security best practices. Familiarity with data mesh, data fabric, or other emerging architectural patterns. Experience working in Agile or DevOps environments. Extensive experience with Python Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets. Experience working with Git and Process Automation In depth understanding of relational database management systems (RDBMS) and Data Flow Development Soft Skills Problem-Solving: Strong analytical skills to troubleshoot and resolve complex data pipeline issues. Communication: Ability to articulate technical concepts to non-technical stakeholders and document processes clearly. Collaboration: Experience working in cross-functional teams Adaptability: Willingness to learn new tools and technologies to stay ahead in the rapidly evolving data landscape. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

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Responsibilities

The Big Data Engineer will build end-to-end data solutions, including data lakes and ETL/ELT pipelines, while ensuring data integrity and availability. They will also automate data pipelines and contribute to the development of data technology aligned with the company's strategy.