Description :

We are seeking a Data Engineer with 4+ years of experience to join our Cloud Data & Engineering team. The ideal candidate has strong expertise in building scalable, cloud-native data platforms and is passionate about solving complex data challenges. This role involves working across platform development and data migration initiatives to deliver efficient, high-impact solutions.

In this role, you will design, build, and optimize modern cloud data architectures, including data pipelines, real-time and batch processing systems, and large-scale migration efforts. You will collaborate with cross-functional teams to deliver secure, high-performing, and cost-effective data solutions using modern tools and best practices.

Roles & Responsibilities :

- Design and build scalable, cloud-native data platforms and pipelines aligned with modern data lake/lakehouse architectures.

- Develop and optimize large-scale data processing solutions using frameworks such as Spark, PySpark, or equivalent technologies.

- Implement real-time and event-driven data ingestion pipelines to support dynamic business use cases.

- Lead and execute large-scale data migration and modernization initiatives, ensuring minimal disruption and optimal performance.

- Perform advanced query tuning, schema design, and performance optimization for relational databases.

- Develop automation frameworks and scripts to streamline data workflows, migration processes, and operational tasks.

- Implement Infrastructure-as-Code (IaC) and integrate CI/CD pipelines to enable efficient and reliable deployments.

- Ensure adherence to cloud security best practices, along with implementing HA/DR strategies and cost optimization techniques.

- Work closely with engineering, product, and customer teams to deliver scalable, high-quality data solutions.

Requirements :

Qualifications & Skills :

- Bachelors degree in Computer Science, Engineering, or a related technical field

- 4+ years of experience in Data Engineering or Database Engineering

- 2+ years of experience delivering cloud-based data solutions

- Strong expertise in building cloud-native data platforms and pipelines

- Deep understanding of modern data lake/lakehouse architectures

- Hands-on experience with distributed processing frameworks (Spark, PySpark, or equivalent)

- Experience with streaming or event-driven data ingestion patterns

- Strong proficiency in Python with solid engineering principles (OOP, testing, clean coding)

- Expertise in relational databases, schema design, and query optimization

- Experience executing large-scale data migration and modernization projects

- Knowledge of high availability (HA), disaster recovery (DR), and cloud security best practices

- Experience with Infrastructure-as-Code (IaC) and CI/CD pipeline integration

- Strong understanding of cost optimization and performance tuning in cloud environments

- Excellent problem-solving, communication, and collaboration skills

- Experience working in a fast-paced, client-facing or consulting environment is preferred

Signs You May Be a Great Fit :

- Impact : Play a key role in building modern, scalable data platforms that enable data-driven decision-making for customers.

- Ownership : Take end-to-end responsibility for data solutions, from design to deployment and optimization.

- Growth : Work with cutting-edge cloud and data technologies while continuously enhancing your technical expertise.

- Culture : Thrive in a collaborative, fast-paced environment that values innovation, accountability, and continuous learning.